Scientific output

This page gives an overview of scientific papers that have been produced based on work performed on the Hábrók, Peregrine and Millipede compute clusters of the University of Groningen, or computing work that has been supported by staff of the HPC team of the Center of Information Technology of the university.

If you want to acknowledge the use of the Hábrók cluster and the support of the CIT in your papers you can use the following acknowledgement:

We thank the Center for Information Technology of the University of Groningen for their support and for providing access to the Hábrók high performance computing cluster.

This list has been first constructed in February 2016, many older papers are therefore not reported. It also relies on input from the individual researchers and will therefore also not be complete. If you want to have your paper(s) added to this list, please send the references (preferably DOI) to hpc@rug.nl.

2024

Adupa, V., Ustyantseva, E., Kampinga, H. H., & Onck, P. R. (2024). Tertiary structure and conformational dynamics of the anti-amyloidogenic chaperone DNAJB6b at atomistic resolution. Nature Communications, 15(1), 3285 [ DOI | http ]
Aguayo, J., Bertoglio, C., & Osses, A. (2024). Distributed parameter identification for the Navier–Stokes equations for obstacle detection. Inverse Problems, 40(1), 015012 [ DOI | http ]
Arrowsmith-Kron, G., Athanasakis-Kaklamanakis, M., Au, M., et al. (2024). Opportunities for fundamental physics research with radioactive molecules. Reports on Progress in Physics, 87(8), 084301. Publisher: IOP Publishing [ DOI | http ]
Castro‐Alvarez, S., Sinharay, S., Bringmann, L. F., Meijer, R. R., & Tendeiro, J. N. (2024). Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method. British Journal of Mathematical and Statistical Psychology, page bmsp.12339 [ DOI | http ]
Cotteret, M., Greatorex, H., Ziegler, M., & Chicca, E. (2024). Vector Symbolic Finite State Machines in Attractor Neural Networks. Neural Computation, 36(4), 549–595 [ DOI | http ]
Edman, L., Sarti, G., Toral, A., Noord, G. V., & Bisazza, A. (2024). Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation. Transactions of the Association for Computational Linguistics, 12, 392–410 [ DOI | http ]
Erić, V., Li, X., Dsouza, L., et al. (2024). Observation of Dark States in Two-Dimensional Electronic Spectra of Chlorosomes. The Journal of Physical Chemistry B, 128(15), 3575–3584 [ DOI | http ]
Es Sayed, J., Mukherjee, A., El Aani, S., et al. (2024). Structure–Property Relationships of Granular Hybrid Hydrogels Formed through Polyelectrolyte Complexation. Macromolecules, 57(7), 3190–3201 [ DOI | http ]
Ferreira, P., Neves, R. P. P., Miranda, F. P., et al. (2024). DszA Catalyzes C–S Bond Cleavage through N ⁵ –Hydroperoxyl Formation. Journal of Chemical Information and Modeling, 64(10), 4218–4230 [ DOI | http ]
Gürel, U., Keten, S., & Giuntoli, A. (2024). Bidispersity Improves the Toughness and Impact Resistance of Star-Polymer Thin Films. ACS Macro Letters, 13(3), 302–307 [ DOI | http ]
Jafari, H., Barts, E., Przybysz, P., et al. (2024). Robust Zeeman-type band splitting in sliding ferroelectrics. Physical Review Materials, 8(2), 024005 [ DOI | http ]
Kasaei, H., Kasaei, M., Tziafas, G., Luo, S., & Sasso, R. (2024). Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains. Journal of Intelligent & Robotic Systems, 110(2), 62 [ DOI | http ]
Kleibergen, F. & Kong, L. (2024). Identification robust inference for the risk premium in term structure models. Journal of Econometrics, page 105728 [ DOI | http ]
Koopmans, L., Dhali, M. A., & Schomaker, L. (2024). Performance Analysis of Handwritten Text Augmentation on Style-Based Dating of Historical Documents. SN Computer Science, 5(4), 397 [ DOI | http ]
König, K., Berengut, J. C., Borschevsky, A., et al. (2024). Nuclear Charge Radii of Silicon Isotopes. Physical Review Letters, 132(16), 162502 [ DOI | http ]
Lan, L., Van Doorn, J. M. H., Wouda, N. A., Rijal, A., & Bhulai, S. (2024). An Iterative Sample Scenario Approach for the Dynamic Dispatch Waves Problem. Transportation Science, page trsc.2023.0111 [ DOI | http ]
Markovitch, O., Wu, J., & Otto, S. (2024). Binding of Precursors to Replicator Assemblies Can Improve Replication Fidelity and Mediate Error Correction. Angewandte Chemie International Edition, 63(14), e202317997 [ DOI | http ]
Marx, A. C., Jafari, H., Tekelenburg, E. K., et al. (2024). Nonlinear magnetotransport in MoTe 2. Physical Review B, 109(12), 125408 [ DOI | http ]
Maurits De Roo, C., Sardjan, A. S., Postmus, R., et al. (2024). Reaction of (N4Py)Fe with H ₂ O ₂ and the relevance of its Fe(IV)=O species during and after H ₂ O ₂ disproportionation. ChemCatChem, page e202301594 [ DOI | http ]
Ndung’u, S., Grobler, T., Wijnholds, S. J., Karastoyanova, D., & Azzopardi, G. (2024). Classification of radio galaxies with trainable COSFIRE filters. Monthly Notices of the Royal Astronomical Society, 530(1), 783–794 [ DOI | http ]
Nelemans, S. (2024). Asset Pricing with Economic Inequality: a Macrofinancial Approach. Ph.D. thesis, University of Groningen [ DOI | http ]
Nguyen, H. L., Do, T. N., Zhong, K., et al. (2024). Inter-subunit energy transfer processes in a minimal plant photosystem II supercomplex. Science Advances, 10(8), eadh0911 [ DOI | http ]
Oldenburg, V., Cardenas-Cartagena, J., & Valdenegro-Toro, M. (2024). Forecasting Smog Clouds With Deep Learning: A Proof-Of-Concept [ http ]
P. Neme, N., Jansen, T. L. C., & Havenith, R. W. A. (2024). Cyclopentene ring effects in cyanine dyes: a handle to fine-tune photophysical properties. Physical Chemistry Chemical Physics, 26(7), 6235–6241 [ DOI | http ]
Sabo, E., Riveni, M., & Karastoyanova, D. (2024). Decentralized Networks Growth Analysis: Instance Dynamics on Mastodon. In H. Cherifi, L. M. Rocha, C. Cherifi, & M. Donduran, editors, Complex Networks & Their Applications XII, volume 1144, pages 366–377. Springer Nature Switzerland, Cham. ISBN 978-3-031-53502-4 978-3-031-53503-1. Series Title: Studies in Computational Intelligence [ DOI | http ]
Soh, J. H., Jansen, T. L. C., & Palacino-González, E. (2024). Controlling the nonadiabatic dynamics of the charge-transfer process with chirped pulses: Insights from a double-pump time-resolved fluorescence spectroscopy scheme. The Journal of Chemical Physics, 160(2), 024110 [ DOI | http ]
Tittes, C., Nijland, J., Schoentag, A. M. C., et al. (2024). Development of a genetic system for Haloferax gibbonsii LR2-5, model host for haloarchaeal viruses. Applied and Environmental Microbiology, 90(4), e00129–24 [ DOI | http ]
Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2024). Graph Neural Networks for Pressure Estimation in Water Distribution Systems. Water Resources Research, 60(7), e2023WR036741 [ DOI | http ]
Wouda, N. A., Lan, L., & Kool, W. (2024). PyVRP: A High-Performance VRP Solver Package. INFORMS Journal on Computing, page ijoc.2023.0055 [ DOI | http ]
Yi, Y., Liang, L., De Jong, A., & Kuipers, O. P. (2024). A systematic comparison of natural product potential, with an emphasis on RiPPs, by mining of bacteria of three large ecosystems. Genomics, 116(4), 110880 [ DOI | http ]
Zhang, L., Csányi, G., Van Der Giessen, E., & Maresca, F. (2024). Efficiency, accuracy, and transferability of machine learning potentials: Application to dislocations and cracks in iron. Acta Materialia, 270, 119788 [ DOI | http ]
Zhang, X., Nijland, J. G., & Driessen, A. J. M. (2024). Maltose accumulation-induced cell death in Saccharomyces cerevisiae. FEMS Yeast Research, 24, foae012 [ DOI | http ]
Zhang, Z. & Krushynska, A. O. (2024). Shape Morphing of Tubular Structures with Tailorable Mechanical Properties. Advanced Engineering Materials, 26(2), 2300383 [ DOI | http ]

2023

Alshehri, M. M., Danazumi, A. U., Alshammari, M. K., et al. (2023). Repurposing the inhibitors of MMP-9 and SGLT-2 against ubiquitin specific protease 30 in Parkinson’s disease: computational modelling studies. Journal of Biomolecular Structure and Dynamics, pages 1–12 [ DOI | http ]
Anteghini, M., Haja, A., Martins Dos Santos, V. A., Schomaker, L., & Saccenti, E. (2023). OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection. Computational and Structural Biotechnology Journal, 21, 128–133 [ DOI | http ]
Barkai, J. A., Verheijen, M. A. W., Talavera, E., & Wilkinson, M. H. F. (2023). A comparative study of source-finding techniques in H I emission line cubes using SoFiA, MTObjects, and supervised deep learning. Astronomy & Astrophysics, 670, A55 [ DOI | http ]
Bechlenberg, A., Wei, Y., Jayawardhana, B., & Vakis, A. I. (2023). Analysing the influence of power take-off adaptability on the power extraction of dense wave energy converter arrays. Renewable Energy, 211, 1–12 [ DOI | http ]
Bellas, C., Hackl, T., Plakolb, M.-S., et al. (2023). Large-scale invasion of unicellular eukaryotic genomes by integrating DNA viruses. Proceedings of the National Academy of Sciences, 120(16), e2300465120 [ DOI | http ]
Biçer, A., Koelewijn, T., & Başkent, D. (2023). Short Implicit Voice Training Affects Listening Effort During a Voice Cue Sensitivity Task With Vocoder-Degraded Speech. Ear & Hearing, 44(4), 900–916 [ DOI | http ]
Boer, D. & Setyadi, C. (2023). Probing gluon GTMDs through exclusive coherent diffractive processes. The European Physical Journal C, 83(10), 890 [ DOI | http ]
Boot, T. (2023). Joint inference based on Stein-type averaging estimators in the linear regression model. Journal of Econometrics, 235(2), 1542–1563 [ DOI | http ]
Boot, T., Niccodemi, G., & Wansbeek, T. (2023). Unbiased estimation of the OLS covariance matrix when the errors are clustered. Empirical Economics [ DOI | http ]
Castro-Alvarez, S., Bringmann, L. F., Meijer, R. R., & Tendeiro, J. N. (2023). A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data. Multivariate Behavioral Research, pages 1–20 [ DOI | http ]
Chang, Y.-C. & Jian, J.-C. (2023). Biomaterial-based nonvolatile photonic memory. Carbon, 202, 167–172 [ DOI | http ]
Chiariello, M. G., Grünewald, F., Zarmiento-Garcia, R., & Marrink, S. J. (2023). pH-Dependent Conformational Switch Impacts Stability of the PsbS Dimer. The Journal of Physical Chemistry Letters, 14(4), 905–911 [ DOI | http ]
Chu, H., De La O Arévalo, L. R., Tang, W., et al. (2023). Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. In V. Andrearczyk, V. Oreiller, M. Hatt, & A. Depeursinge, editors, Head and Neck Tumor Segmentation and Outcome Prediction, volume 13626, pages 114–120. Springer Nature Switzerland, Cham. ISBN 978-3-031-27419-0 978-3-031-27420-6. Series Title: Lecture Notes in Computer Science [ DOI | http ]
De Biase, A., Sijtsema, N. M., Van Dijk, L. V., Langendijk, J. A., & Van Ooijen, P. M. A. (2023). Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images. Physics in Medicine & Biology, 68(5), 055013 [ DOI | http ]
De Klein, N., Tsai, E. A., Vochteloo, M., et al. (2023). Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases. Nature Genetics, 55(3), 377–388 [ DOI | http ]
Dekker, M., Van Der Giessen, E., & Onck, P. R. (2023). Phase separation of intrinsically disordered FG-Nups is driven by highly dynamic FG motifs. Proceedings of the National Academy of Sciences, 120(25), e2221804120 [ DOI | http ]
Do, P., Coler, M., Dijkstra, J., & Klabbers, E. (2023). Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection. In 12th ISCA Speech Synthesis Workshop (SSW2023), pages 21–26. ISCA [ DOI | .html ]
Do, P., Coler, M., Dĳkstra, J., & Klabbers, E. (2023). The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech. In INTERSPEECH 2023, pages 5461–5465. ISCA [ DOI | .html ]
Do, P., Coler, M., Dĳkstra, J., & Klabbers, E. (2023). Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages. In INTERSPEECH 2023, pages 5466–5470. ISCA [ DOI | .html ]
Eduardus, Shagam, Y., Landau, A., et al. (2023). Large vibrationally induced parity violation effects in CHDBrI+. Chemical Communications, 59(98), 14579–14582. Publisher: The Royal Society of Chemistry [ DOI | http ]
Erić, V., Li, X., Dsouza, L., et al. (2023). Manifestation of Hydrogen Bonding and Exciton Delocalization on the Absorption and Two-Dimensional Electronic Spectra of Chlorosomes. The Journal of Physical Chemistry B, 127(5), 1097–1109 [ DOI | http ]
Etienne, R. S., Haegeman, B., Dugo-Cota, �., et al. (2023). The Phylogenetic Limits to Diversity-Dependent Diversification. Systematic Biology, 72(2), 433–445 [ DOI | http ]
Faber, T., Filipovic, L., & Koster, L. J. A. (2023). The Role of Thermalization in the Cooling Dynamics of Hot Carrier Solar Cells. Solar RRL, page 2300140 [ DOI | http ]
Fazi, S., Choudhary, S. K., & Dong, J.-X. (2023). The multi-trip container drayage problem with synchronization for efficient empty containers re-usage. European Journal of Operational Research, 310(1), 343–359 [ DOI | http ]
Feliciani, T., Tolsma, J., & Flache, A. (2023). Ethnic segregation and spatial patterns of attitudes: studying the link using register data and social simulation. Journal of Computational Social Science [ DOI | http ]
Florez, E., Zapata-Escobar, A. D., Ferraro, F., et al. (2023). Coordination of Mercury(II) in Water Promoted over Hydrolysis in Solvated Clusters [Hg(H ₂ O) _1–6 ] _(aq) ²⁺ : Insights from Relativistic Effects and Free Energy Analysis. The Journal of Physical Chemistry A, 127(39), 8032–8049 [ DOI | http ]
Flöss, T., Biagetti, M., & Meerburg, P. D. (2023). Primordial non-Gaussianity and non-Gaussian covariance. Physical Review D, 107(2), 023528 [ DOI | http ]
Frans, N., Braeken, J., Veldkamp, B. P., & Paap, M. C. S. (2023). Empirical Priors in Polytomous Computerized Adaptive Tests: Risks and Rewards in Clinical Settings. Applied Psychological Measurement, 47(1), 48–63 [ DOI | http ]
Ghara, S., Barts, E., Vasin, K., et al. (2023). Magnetization reversal through an antiferromagnetic state. Nature Communications, 14(1), 5174 [ DOI | http ]
Grasso, S., Dabene, V., Hendriks, M. M. W. B., et al. (2023). Signal Peptide Efficiency: From High-Throughput Data to Prediction and Explanation. ACS Synthetic Biology, 12(2), 390–404 [ DOI | http ]
Gurung, K., Vink, S. N., Salles, J. F., & Wertheim, B. (2023). More persistent bacterial than fungal associations in the microbiota of a pest insect. Journal of Pest Science, 96(2), 785–796 [ DOI | http ]
Gürel, U. & Giuntoli, A. (2023). Shear Thinning from Bond Orientation in Model Unentangled Bottlebrush Polymer Melts. Macromolecules, 56(15), 5708–5717 [ DOI | http ]
Haja, A., Horcas-Nieto, J. M., Bakker, B. M., & Schomaker, L. (2023). Towards automatization of organoid analysis: A deep learning approach to localize and quantify organoid images. Computer Methods and Programs in Biomedicine Update, 3, 100101 [ DOI | http ]
Haja, A., Van Der Woude, B., & Schomaker, L. (2023). Organoids Segmentation using Self-Supervised Learning: How Complex Should the Pretext Task Be? In Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering, pages 17–27. ACM, Kyoto Japan. ISBN 9798400708343 [ DOI | http ]
Haja, A., Zhelev, I., & Schomaker, L. (2023). Segmentation Of Organoid Cultures Images Using Diffusion Networks with Triplet Loss. In Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering, pages 1–10. ACM, Kyoto Japan. ISBN 9798400708343 [ DOI | http ]
van Hengel, C. D. N., van Adrichem, K. E., & Jansen, T. L. C. (2023). Simulation of two-dimensional infrared Raman spectroscopy with application to proteins. The Journal of Chemical Physics, 158(6), 064106 [ DOI | http ]
Huo, Y., Espinoza Cangahuala, M. K., Zamudio-Bayer, V., et al. (2023). An X-ray spectroscopy study of structural stability of superhydrogenated pyrene derivatives. Monthly Notices of the Royal Astronomical Society, 523(1), 865–875 [ DOI | http ]
Kasaei, H. & Kasaei, M. (2023). MVGrasp: Real-time multi-view 3D object grasping in highly cluttered environments. Robotics and Autonomous Systems, 160, 104313 [ DOI | http ]
Kind, L., Driver, M., Raasakka, A., et al. (2023). Structural properties of the HNF-1A transactivation domain. Frontiers in Molecular Biosciences, 10, 1249939 [ DOI | http ]
Landau, A., Eduardus, Behar, D., et al. (2023). Chiral molecule candidates for trapped ion spectroscopy by ab initio calculations: From state preparation to parity violation. The Journal of Chemical Physics, 159(11), 114307 [ DOI | http ]
Leach, I. F., Sorbelli, D., Belpassi, L., et al. (2023). How reduced are nucleophilic gold complexes? Dalton Transactions, 52(1), 11–15 [ DOI | http ]
Leach, I. F., Speelman, T., Somsen, C., Klein, J. E. M. N., & Havenith, R. W. A. (2023). Revisiting sp ² Dilithio Methandiides: From Geometric Curiosity to Simple Bonding Description. Chemistry – A European Journal, 29(56), e202301911 [ DOI | http ]
Lefebvre, M. J. M., Daron, J., Legrand, E., et al. (2023). Population Genomic Evidence of Adaptive Response during the Invasion History of Plasmodium falciparum in the Americas. Molecular Biology and Evolution, 40(5), msad082 [ DOI | http ]
Lepage, M. L., Alachouzos, G., Hermens, J. G. H., et al. (2023). Electron-Poor Butenolides: The Missing Link between Acrylates and Maleic Anhydride in Radical Polymerization. Journal of the American Chemical Society, 145(31), 17211–17219 [ DOI | http ]
Leurs, G., Verkuil, Y. I., Hijner, N., et al. (2023). Addressing data-deficiency of threatened sharks and rays in a highly dynamic coastal ecosystem using environmental DNA. Ecological Indicators, 154, 110795 [ DOI | http ]
Leyva-Vallina, M., Strisciuglio, N., & Petkov, N. (2023). Data-efficient large scale place recognition with graded similarity supervision. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 23487–23496
Liu, T., Roy, A., Hidding, J., et al. (2023). Crystallographically dependent bilinear magnetoelectric resistance in a thin WTe 2 layer. Physical Review B, 108(16), 165407 [ DOI | http ]
Luo, S. & Schomaker, L. (2023). Reinforcement learning in robotic motion planning by combined experience-based planning and self-imitation learning. Robotics and Autonomous Systems, 170, 104545 [ DOI | http ]
Marinho, J. P. N., Neme, N. P., Matos, M. J. D. S., et al. (2023). Nanostructured system based on hydroxyapatite and curcumin: A promising candidate for osteosarcoma therapy. Ceramics International, 49(12), 19932–19949 [ DOI | http ]
Marinus, N., Eisink, N. N. H. M., Reintjens, N. R. M., et al. (2023). A Predictive Model for the Pd‐Catalyzed Site‐Selective Oxidation of Diols. Chemistry – A European Journal, page e202300318 [ DOI | http ]
Merekalov, A. S., Derikov, Y. I., Ezhov, A. A., et al. (2023). Orientation control of the hexagonal and lamellar phases in thin block copolymer films using in-plane AC electric field. Polymer, 264, 125544 [ DOI | http ]
Mposhi, A., Cortés-Mancera, F., Heegsma, J., et al. (2023). Mitochondrial DNA methylation in metabolic associated fatty liver disease. Frontiers in Nutrition, 10, 964337 [ DOI | http ]
Mulder, T. E., Baars, S., Wubs, F. W., et al. (2023). Symbiotic Ocean Modeling Using Physics‐Controlled Echo State Networks. Journal of Advances in Modeling Earth Systems, 15(12), e2023MS003631 [ DOI | http ]
Nagam, B. C., Koopmans, L. V. E., Valentijn, E. A., et al. (2023). DenseLens – Using DenseNet ensembles and information criteria for finding and rank-ordering strong gravitational lenses. Monthly Notices of the Royal Astronomical Society, 523(3), 4188–4201 [ DOI | http ]
Ndung’u, S., Grobler, T., Wijnholds, S. J., Karastoyanova, D., & Azzopardi, G. (2023). Deep supervised hashing for fast retrieval of radio image cubes. In 2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), pages 1–4. IEEE, Sapporo, Japan. ISBN 978-94-6396-809-6 [ DOI | http ]
Nichols, M., Athanasakis-Kaklamanakis, M., Borschevsky, A., et al. (2023). Investigating radioactive negative ion production via double electron capture. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 541, 264–267 [ DOI | http ]
Norrgard, E. B., Chamorro, Y., Cooksey, C. C., et al. (2023). Radiative decay rate and branching fractions of MgF. Physical Review A, 108(3), 032809 [ DOI | http ]
Palacino-González, E. & Jansen, T. L. C. (2023). Modeling the Effect of Disorder in the Two-Dimensional Electronic Spectroscopy of Poly-3-hexyltiophene in an Organic Photovoltaic Blend: A Combined Quantum/Classical Approach. The Journal of Physical Chemistry C, 127(14), 6793–6801 [ DOI | http ]
Parisotto, T., Mukherjee, S., & Kasaei, H. (2023). MORE: simultaneous multi-view 3D object recognition and pose estimation. Intelligent Service Robotics [ DOI | http ]
Pase, G., Brinkhuis, E., De Vries, T., et al. (2023). A parametric geometry model of the aortic valve for subject-specific blood flow simulations using a resistive approach. Biomechanics and Modeling in Mechanobiology, 22(3), 987–1002 [ DOI | http ]
Pramanik, R., Verstappen, R. W. C. P., & Onck, P. R. (2023). Magnetic-field-induced propulsion of jellyfish-inspired soft robotic swimmers. Physical Review E, 107(1), 014607 [ DOI | http ]
Ramanantoanina, H., Borschevsky, A., Block, M., Viehland, L., & Laatiaoui, M. (2023). State-specific ion mobilities of Lr + ( Z = 103 ) in helium. Physical Review A, 108(1), 012802 [ DOI | http ]
Sasso, R., Sabatelli, M., & Wiering, M. A. (2023). Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. Transactions on Machine Learning Research [ http ]
Saxena, A., Cole, A., Gazagnes, S., et al. (2023). Constraining the X-ray heating and reionization using 21-cm power spectra with Marginal Neural Ratio Estimation. Monthly Notices of the Royal Astronomical Society, 525(4), 6097–6111 [ DOI | http ]
Saxena, A., Meerburg, P. D., de Lera Acedo, E., Handley, W., & Koopmans, L. V. E. (2023). Sky-averaged 21-cm signal extraction using multiple antennas with an SVD framework: the REACH case. Monthly Notices of the Royal Astronomical Society, 522(1), 1022–1032 [ DOI | http ]
Schenkel, M. A., Billeter, J.-C., Beukeboom, L. W., & Pen, I. (2023). Divergent evolution of genetic sex determination mechanisms along environmental gradients. Evolution Letters, 7(3), 132–147 [ DOI | http ]
Shomalzadeh, K., Scherpen, J. M., & Camlibel, M. K. (2023). A real-time balancing market optimization with personalized prices: From bilevel to convex. Operations Research Perspectives, 10, 100276 [ DOI | http ]
Siebe, H. S., Sardjan, A. S., Maßmann, S. C., et al. (2023). Formation of substituted dioxanes in the oxidation of gum arabic with periodate. Green Chemistry, 25(10), 4058–4066 [ DOI | http ]
Soni, S., Werner, I., Aidi, M., et al. (2023). Influence of Polyoxovanadate and Phthalocyanine on 4f Electron Transfer in Gold-Confined Monolayers Probed with EGaIn Top Contacts. ACS Applied Nano Materials, 6(24), 22643–22650 [ DOI | http ]
Suárez-Menéndez, M., Bérubé, M., Furni, F., et al. (2023). Wild pedigrees inform mutation rates and historic abundance in baleen whales. Science, 381(6661), 990–995 [ DOI | http ]
Tegegne, B. S., Said, M. A., Ani, A., et al. (2023). Phenotypic but not genetically predicted heart rate variability associated with all-cause mortality. Communications Biology, 6(1), 1013 [ DOI | http ]
Tenzin, K., Roy, A., Cerasoli, F. T., et al. (2023). Collinear Rashba-Edelstein effect in nonmagnetic chiral materials. Physical Review B, 108(24), 245203 [ DOI | http ]
Tenzin, K., Roy, A., Jafari, H., et al. (2023). Analogs of Rashba-Edelstein effect from density functional theory. Physical Review B, 107(16), 165140 [ DOI | http ]
Ter Harmsel, M., Maguire, O. R., Runikhina, S. A., et al. (2023). A catalytically active oscillator made from small organic molecules. Nature, 621(7977), 87–93 [ DOI | http ]
Trifonova, E. A., Leach, I. F., de Haas, W. B., et al. (2023). Spectroscopic Manifestations and Implications for Catalysis of Quasi‐d ¹⁰ Configurations in Formal Gold(III) Complexes. Angewandte Chemie International Edition, 62(3) [ DOI | http ]
Vakili, M., Hoekstra, H., Bilicki, M., et al. (2023). Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey. Astronomy & Astrophysics [ DOI | http ]
Valle, N. & Verstappen, R. (2023). Conservation of energy in the direct numerical simulation of interface-resolved multiphase flows. Experimental and Computational Multiphase Flow, 5(4), 333–343 [ DOI | http ]
Veltmaat, N., Zhong, Y., De Jesus, F. M., et al. (2023). Genomic profiling of post-transplant lymphoproliferative disorders using cell-free DNA. Journal of Hematology & Oncology, 16(1), 104 [ DOI | http ]
Vrijen, C., Nolte, I. M., Oldehinkel, A. J., Veenstra, R., & Kretschmer, T. (2023). Genetic confounding in bullying research: Causal claims revisited. Development and Psychopathology, pages 1–12 [ DOI | http ]
Wang, Y., Jiménez, D. J., Zhang, Z., & Van Elsas, J. D. (2023). Functioning of a tripartite lignocellulolytic microbial consortium cultivated under two shaking conditions: a metatranscriptomic study. Biotechnology for Biofuels and Bioproducts, 16(1), 54 [ DOI | http ]
Wouda, N. A., Aslan, A., & Vis, I. F. (2023). An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning. Computers & Operations Research, 151, 106089 [ DOI | http ]
Xie, S., Valente, L., & Etienne, R. S. (2023). Can we ignore trait-dependent colonization and diversification in island biogeography? Evolution, 77(3), 670–681 [ DOI | http ]
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2022

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2018

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Francese, T., Ribas-Arino, J., Novoa, J. J., et al. (2018). The magnetic fingerprint of dithiazolyl-based molecule magnets. Physical Chemistry Chemical Physics, 20(31), 20406–20416 [ DOI | http ]
Frantseva, K., Mueller, M., ten Kate, I. L., van der Tak, F. F., & Greenstreet, S. (2018). Delivery of organics to Mars through asteroid and comet impacts. Icarus, 309, 125–133 [ DOI | http ]
Gallego, S. G., Cantalupo, S., Lilly, S., et al. (2018). Stacking the Cosmic Web in fluorescent Ly α emission with MUSE. Monthly Notices of the Royal Astronomical Society, 475(3), 3854–3869 [ DOI ]
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Giblin, B., Heymans, C., Harnois-Déraps, J., et al. (2018). KiDS-450: Enhancing cosmic shear with clipping transformations. Monthly Notices of the Royal Astronomical Society, 480(4), 5529–5549 [ DOI ]
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Joudaki, S., Blake, C., Johnson, A., et al. (2018). KiDS-450 + 2dFLenS: Cosmological parameter constraints from weak gravitational lensing tomography and overlapping redshift-space galaxy clustering. Monthly Notices of the Royal Astronomical Society, 474(4), 4894–4924 [ DOI | http ]
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Kelvin, L. S., Bremer, M. N., Phillipps, S., et al. (2018). Galaxy and Mass Assembly (GAMA): Variation in galaxy structure across the green valley. Monthly Notices of the Royal Astronomical Society, 477(3), 4116–4130 [ DOI ]
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2017

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Harnois-Déraps, J., Tröster, T., Chisari, N. E., et al. (2017). KiDS-450: Tomographic cross-correlation of galaxy shear with Planck lensing. Monthly Notices of the Royal Astronomical Society, 471(2), 1619–1633 [ DOI ]
Hartley, P., Flamary, R., Jackson, N., Tagore, A. S., & Metcalf, R. B. (2017). Support vector machine classification of strong gravitational lenses. Monthly Notices of the Royal Astronomical Society, 471(3), 3378–3397 [ DOI ]
Hashimoto, T., Garel, T., Guiderdoni, B., et al. (2017). The MUSE Hubble Ultra Deep Field Survey: X. Ly α equivalent widths at 2.9 z 6.6. Astronomy and Astrophysics, 608, A10 [ DOI ]
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Hildebrandt, H., Viola, M., Heymans, C., et al. (2017). KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing. Monthly Notices of the Royal Astronomical Society, 465(2), 1454–1498 [ DOI ]
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Inami, H., Bacon, R., Brinchmann, J., et al. (2017). The MUSE Hubble Ultra Deep Field Survey: II. Spectroscopic redshifts and comparisons to color selections of high-redshift galaxies. Astronomy and Astrophysics, 608, A2 [ DOI ]
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Sriman, B. & Schomaker, L. (2015). Object attention patches for text detection and recognition in scene images using SIFT. In ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings, volume 1, pages 304–311. SCITEPRESS - Science and and Technology Publications. ISBN 978-989-758-076-5 [ DOI | http ]
Surinta, O., Karaaba, M. F., Mishra, T. K., Schomaker, L. R., & Wiering, M. A. (2015). Recognizing handwritten characters with local descriptors and bags of visual words. In Communications in Computer and Information Science, volume 517, pages 255–264. ISBN 978-3-319-23981-1. ISSN: 18650929 [ DOI | http ]
Surinta, O., Karaaba, M. F., Schomaker, L. R., & Wiering, M. A. (2015). Recognition of handwritten characters using local gradient feature descriptors. Engineering Applications of Artificial Intelligence, 45, 405–414 [ DOI | http ]
Swerdlow, D. I., Preiss, D., Kuchenbaecker, K. B., et al. (2015). HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: Evidence from genetic analysis and randomised trials. The Lancet, 385(9965), 351–361 [ DOI | http ]
Sánchez-Ramírez, S., Etienne, R. S., & Moncalvo, J. M. (2015). High speciation rate at temperate latitudes explains unusual diversity gradients in a clade of ectomycorrhizal fungi. Evolution, 69(8), 2196–2209 [ DOI | http ]
Torabi, S., Jahani, F., Van Severen, I., et al. (2015). Strategy for enhancing the dielectric constant of organic semiconductors without sacrificing charge carrier mobility and solubility. Advanced Functional Materials, 25(1), 150–157 [ DOI | http ]
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Valente, L. M., Phillimore, A. B., & Etienne, R. S. (2015). Equilibrium and non-equilibrium dynamics simultaneously operate in the Galápagos islands. Ecology Letters, 18(8), 844–852 [ DOI | http ]
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Van Der Vegte, C. P., Prajapati, J. D., Kleinekathöfer, U., Knoester, J., & Jansen, T. L. (2015). Atomistic modeling of two-dimensional electronic spectra and excited-state dynamics for a light harvesting 2 complex. Journal of Physical Chemistry B, 119(4), 1302–1313 [ DOI | http ]
Van Eerden, F. J., De Jong, D. H., De Vries, A. H., Wassenaar, T. A., & Marrink, S. J. (2015). Characterization of thylakoid lipid membranes from cyanobacteria and higher plants by molecular dynamics simulations. Biochimica et Biophysica Acta - Biomembranes, 1848(6), 1319–1330 [ DOI | http ]
Van Leeuwen, E. M., Karssen, L. C., Deelen, J., et al. (2015). Genome of the Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels. Nature Communications, 6(1), 6065 [ DOI | http ]
Venemans, B. P., Verdoes Kleijn, G. A., Mwebaze, J., et al. (2015). First discoveries of z 6 quasars with the Kilo-Degree Survey and VISTA Kilo-Degree Infrared Galaxy survey. Monthly Notices of the Royal Astronomical Society, 453(3), 2259–2266 [ DOI ]
Vermond, R. A., Geelhoed, B., Verweij, N., et al. (2015). Incidence of Atrial Fibrillation and Relationship With Cardiovascular Events, Heart Failure, and Mortality A Community-Based Study From the Netherlands. Journal of the American College of Cardiology, 66(9), 1000–1007 [ DOI | http ]
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Weilbacher, P. M., Monreal-Ibero, A., Leod, A. F. M., et al. (2015). The Central Orion Nebula (M42) as seen by MUSE. ESO The Messenger, 162, 37–41
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Winkler, T. W., Justice, A. E., Graff, M., et al. (2015). The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genetics, 11(10), 1–42 [ DOI | http ]
Zimmermann, E., Ängquist, L. H., Mirza, S. S., et al. (2015). Is the adiposity-associated FTO gene variant related to all-cause mortality independent of adiposity? Meta-analysis of data from 169,551 Caucasian adults. Obesity Reviews, 16(4), 327–340 [ DOI | http ]
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2014

Bauer, J., Hou, L., Kistemaker, J. C., & Feringa, B. L. (2014). Tuning the rotation rate of light-driven molecular motors. Journal of Organic Chemistry, 79(10), 4446–4455 [ DOI | http ]
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Bolton, J. L., Hayward, C., Direk, N., et al. (2014). Genome Wide Association Identifies Common Variants at the SERPINA6/SERPINA1 Locus Influencing Plasma Cortisol and Corticosteroid Binding Globulin. PLoS Genetics, 10(7), e1004474 [ DOI | http ]
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den Brok, M., Peletier, R. F., Seth, A., et al. (2014). The HST/ACS Coma Cluster Survey - X. Nuclear star clusters in low-mass early-type galaxies: Scaling relations. Monthly Notices of the Royal Astronomical Society, 445(3), 2385–2403 [ DOI ]
Caretta, A., Miranti, R., Havenith, R. W., et al. (2014). Low-frequency Raman study of the ferroelectric phase transition in a layered CuCl 4 -based organic-inorganic hybrid. Physical Review B - Condensed Matter and Materials Physics, 89(2), 024301 [ DOI | http ]
Chang, M. C., Dann, T., Day, D. P., et al. (2014). The formazanate ligand as an electron reservoir: Bis(formazanate) zinc complexes isolated in three redox states. Angewandte Chemie - International Edition, 53(16), 4118–4122 [ DOI | http ]
Chen, J., Kistemaker, J. C., Robertus, J., & Feringa, B. L. (2014). Molecular stirrers in action. Journal of the American Chemical Society, 136(42), 14924–14932 [ DOI | http ]
Chen, K. Y., Ivashenko, O., Carroll, G. T., et al. (2014). Control of surface wettability using tripodal light-activated molecular motors. Journal of the American Chemical Society, 136(8), 3219–3224 [ DOI | http ]
Chen, K. Y., Wezenberg, S. J., Carroll, G. T., et al. (2014). Tetrapodal molecular switches and motors: Synthesis and photochemistry. Journal of Organic Chemistry, 79(15), 7032–7040 [ DOI | http ]
Cnossen, A., Kistemaker, J. C., Kojima, T., & Feringa, B. L. (2014). Structural dynamics of overcrowded alkene-based molecular motors during thermal isomerization. Journal of Organic Chemistry, 79(3), 927–935 [ DOI | http ]
De Gier, H. D., Broer, R., & Havenith, R. W. (2014). Non-innocent side-chains with dipole moments in organic solar cells improve charge separation. Physical Chemistry Chemical Physics, 16(24), 12454–12461 [ DOI | http ]
Deckers, T. & Hanck, C. (2014). Multiple testing for output convergence. Macroeconomic Dynamics, 18(1), 199–214 [ DOI | http ]
Deckers, T. & Hanck, C. (2014). Variable Selection in Cross-Section Regressions: Comparisons and Extensions. Oxford Bulletin of Economics and Statistics, 76(6), 841–873 [ DOI | http ]
Demetrescu, M., Hanck, C., & Tarcolea, A. I. (2014). Iv-Based Cointegration Testing in Dependent Panels With Time-Varying Variance. Journal of Time Series Analysis, 35(5), 393–406 [ DOI | http ]
Dijkstra, P., Angelone, D., Talnishnikh, E., et al. (2014). Pyridyl-1,2,4-triazole diphenyl boron complexes as efficient tuneable blue emitters. Dalton Transactions, 43(47), 17740–17745 [ DOI | http ]
Dini-Andreote, F., De Cássia Pereira E Silva, M., Triadó-Margarit, X., et al. (2014). Dynamics of bacterial community succession in a salt marsh chronosequence: Evidences for temporal niche partitioning. ISME Journal, 8(10), 1989–2001 [ DOI | http ]
Flores-Johnson, E. A., Shen, L., Annabattula, R. K., et al. (2014). The effect of interface adhesion on buckling and cracking of hard thin films. Applied Physics Letters, 105(16), 161912 [ DOI | http ]
Ghavami, A., Veenhoff, L. M., Van Der Giessen, E., & Onck, P. R. (2014). Probing the disordered domain of the nuclear pore complex through coarse-grained molecular dynamics simulations. Biophysical Journal, 107(6), 1393–1402 [ DOI | http ]
de Gier, H. D., Rietberg, B. J., Broer, R., & Havenith, R. W. (2014). Influence of push-pull group substitution patterns on excited state properties of donor-acceptor co-monomers and their trimers. Computational and Theoretical Chemistry, 1040-1041, 202–211 [ DOI | http ]
Haver, V. G., Verweij, N., Kjekshus, J., et al. (2014). The impact of coronary artery disease risk loci on ischemic heart failure severity and prognosis: Association analysis in the COntrolled ROsuvastatin multiNAtional trial in heart failure (CORONA). BMC Medical Genetics, 15(1), 140 [ DOI | http ]
Holmes, M. V., Dale, C. E., Zuccolo, L., et al. (2014). Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data. BMJ (Online), 349(jul10 6), g4164–g4164 [ DOI | http ]
Li, J., Nowak, P., Fanlo-Virgós, H., & Otto, S. (2014). Catenanes from catenanes: Quantitative assessment of cooperativity in dynamic combinatorial catenation. Chemical Science, 5(12), 4968–4974 [ DOI | http ]
Lillington, M., Havenith, R. W., Fowler, P. W., Baker, J., & Jenneskens, L. W. (2014). The homotropenylium cation: A system with a pinched π ring current. Physical Chemistry Chemical Physics, 16(23), 11566–11572 [ DOI | http ]
Namdeo, S., Khaderi, S. N., & Onck, P. R. (2014). Numerical modelling of chirality-Induced bi-Directional swimming of artificial flagella. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 470(2162), 20130547 [ DOI | http ]
Nijland, J. G., Shin, H. Y., De Jong, R. M., et al. (2014). Engineering of an endogenous hexose transporter into a specific D-xylose transporter facilitates glucose-xylose co-consumption in Saccharomyces cerevisiae. Biotechnology for Biofuels, 7(1), 168 [ DOI | http ]
Riese, H., Muñoz, L. M., Hartman, C. A., et al. (2014). Identifying genetic variants for heart rate variability in the acetylcholine pathway. PLoS ONE, 9(11), e112476 [ DOI | http ]
Rijnbeek, P. R., Van Herpen, G., Bots, M. L., et al. (2014). Normal values of the electrocardiogram for ages 16-90 years. Journal of Electrocardiology, 47(6), 914–921 [ DOI | http ]
Rudavskyi, A., Sousa, C., De Graaf, C., Havenith, R. W., & Broer, R. (2014). Computational approach to the study of thermal spin crossover phenomena. Journal of Chemical Physics, 140(18), 184318 [ DOI | http ]
Saane, S. S., Mangipudi, K. R., Loos, K. U., De Hosson, J. T. M., & Onck, P. R. (2014). Multiscale modeling of charge-induced deformation of nanoporous gold structures. Journal of the Mechanics and Physics of Solids, 66(1), 1–15 [ DOI | http ]
Sergentu, D. C., Maurice, R., Havenith, R. W., Broer, R., & Roca-Sanjuán, D. (2014). Computational determination of the dominant triplet population mechanism in photoexcited benzophenone. Physical Chemistry Chemical Physics, 16(46), 25393–25403 [ DOI | http ]
Simino, J., Shi, G., Bis, J. C., et al. (2014). Gene-age interactions in blood pressure regulation: A large-scale investigation with the CHARGE, global BPgen, and ICBP consortia. American Journal of Human Genetics, 95(1), 24–38 [ DOI | http ]
Spierdijk, L. & Koning, R. H. (2014). Estimating Outstanding Claim Liabilities: The Role of Unobserved Risk Factors. Journal of Risk and Insurance, 81(4), 803–830 [ DOI | http ]
Spierdijk, L. & Umar, Z. (2014). Are commodity futures a good hedge against inflation? The Journal of Investment Strategies, 3(2), 35–57 [ DOI | http ]
Spierdijk, L. & Umar, Z. (2014). Stocks for the long run? Evidence from emerging markets. Journal of International Money and Finance, 47, 217–238 [ DOI | http ]
Steglich, C. & Knecht, A. (2014). Über Beurteilungsfehler aufgrund verzerrt wahrgenommener Schülerfreundschaften. Zeitschrift fur Erziehungswissenschaft, 17(5), 153–170 [ DOI | http ]
Taatgen, N. A. (2014). Between architecture and model: Strategies for cognitive control. Biologically Inspired Cognitive Architectures, 8, 132–139 [ DOI | http ]
Van Duijnen, P. T., De Gier, H. D., Broer, R., & Havenith, R. W. (2014). The behaviour of charge distributions in dielectric media. Chemical Physics Letters, 615, 83–88 [ DOI | http ]
Verkuil, Y. I., Juillet, C., Lank, D. B., Widemo, F., & Piersma, T. (2014). Genetic variation in nuclear and mitochondrial markers supports a large sex difference in lifetime reproductive skew in a lekking species. Ecology and Evolution, 4(18), 3626–3632 [ DOI | http ]
Verweij, N., Leach, I. M., Van Den Boogaard, M., et al. (2014). Genetic Determinants of P Wave Duration and PR Segment. Circulation: Cardiovascular Genetics, 7(4), 475–481 [ DOI | http ]
Voortman, T. P., De Gier, H. D., Havenith, R. W., & Chiechi, R. C. (2014). Stabilizing cations in the backbones of conjugated polymers. Journal of Materials Chemistry C, 2(17), 3407–3415 [ DOI | http ]
Wezenberg, S. J., Vlatković, M., Kistemaker, J. C., & Feringa, B. L. (2014). Multi-state regulation of the dihydrogen phosphate binding affinity to a light- and heat-responsive bis-urea receptor. Journal of the American Chemical Society, 136(48), 16784–16787 [ DOI | http ]

2013

Codd, V., Nelson, C. P., Albrecht, E., et al. (2013). Identification of seven loci affecting mean telomere length and their association with disease. Nature Genetics, 45(4), 422–427 [ DOI | http ]
Cvejic, A., Haer-Wigman, L., Stephens, J. C., et al. (2013). SMIM1 underlies the Vel blood group and influences red blood cell traits. Nature Genetics, 45(5), 542–545 [ DOI | http ]
Demetrescu, M. & Hanck, C. (2013). Nonlinear IV panel unit root testing under structural breaks in the error variance. Statistical Papers, 54(4), 1043–1066 [ DOI | http ]
Markov, V., Kriksin, Y., Erukhimovich, I., & Ten Brinke, G. (2013). Perpendicular lamellar-in-lamellar and other planar morphologies in A-b-(B-b-A)2-b-C and (B-b-A)2-b-C ternary multiblock copolymer melts. Journal of Chemical Physics, 139(8), 084906 [ DOI | http ]
Pijper, T. C., Kudernac, T., Browne, W. R., & Feringa, B. L. (2013). Effect of immobilization on gold on the temperature dependence of photochromic switching of dithienylethenes. Journal of Physical Chemistry C, 117(34), 17623–17632 [ DOI | http ]
Surinta, O., Schomaker, L., & Wiering, M. (2013). A comparison of feature and pixel-based methods for recognizing handwritten bangla digits. In Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pages 165–169. IEEE. ISBN 978-0-7695-4999-6. ISSN: 15205363 [ DOI | http ]
Taatgen, N. a. (2013). Diminishing Return in Transfer: A PRIM Model of the Frensch (1991) Arithmetic Experiment. In Proceedings of the International Conference on Cognitive Modeling, pages 29–34. Issue: 1991
Taatgen, N. A. (2013). The nature and transfer of cognitive skills. Psychological review, 120(3), 439–471 [ DOI | http ]
Verweij, N., Mahmud, H., Leach, I. M., et al. (2013). Genome-wide association study on plasma levels of midregional- proadrenomedullin and C-terminal-pro-endothelin-1. Hypertension, 61(3), 602–608 [ DOI | http ]

2012

Asselbergs, F. W., Guo, Y., Van Iperen, E. P., et al. (2012). Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci. American Journal of Human Genetics, 91(5), 823–838 [ DOI | http ]
ĆurČić Blake, B., Swart, M., Ter Horst, G. J., et al. (2012). Variation of the gene coding for DARPP-32 (PPP1R1B) and brain connectivity during associative emotional learning. NeuroImage, 59(2), 1540–1550 [ DOI | http ]
de Boer, R. A., Verweij, N., van Veldhuisen, D. J., et al. (2012). A Genome-Wide Association Study of Circulating Galectin-3. PLoS ONE, 7(10), e47385 [ DOI | http ]
Erukhimovich, I., Kriksin, Y., & Ten Brinke, G. (2012). The diamond and other non-conventional morphologies in two-scale multiblock AB copolymers. Soft Matter, 8(7), 2159–2169 [ DOI | http ]
Kathiresan, S. & Srivastava, D. (2012). Genetics of human cardiovascular disease. Ph.D. thesis, University of Groningen. Publication Title: Cell Volume: 148 Issue: 6 ISBN: 9789037778724 ISSN: 10974172 [ DOI ]
Saxena, R., Elbers, C. C., Guo, Y., et al. (2012). Erratum: Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci (American Journal of Human Genetics (2012) 90 (410-425)). American Journal of Human Genetics, 90(4), 753 [ DOI | http ]
Saxena, R., Elbers, C. C., Guo, Y., et al. (2012). Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci. American Journal of Human Genetics, 90(3), 410–425 [ DOI | http ]
Scott, R. A., Lagou, V., Welch, R. P., et al. (2012). Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nature Genetics, 44(9), 991–1005 [ DOI | http ]
Van Der Harst, P., Zhang, W., Mateo Leach, I., et al. (2012). Seventy-five genetic loci influencing the human red blood cell. Nature, 492(7429), 369–375 [ DOI | http ]
Yang, J., Loos, R. J., Powell, J. E., et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature, 490(7419), 267–273 [ DOI | http ]