| Bayesian workflow A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808, 2020 | 314 | 2020 |
| brms: Bayesian regression models using Stan PC Bürkner, J Gabry, S Weber, A Johnson, M Modrak R package version 1 (0), 2016 | 150 | 2016 |
| Comparing quality of reporting between preprints and peer-reviewed articles in the biomedical literature CFD Carneiro, VGS Queiroz, TC Moulin, CAM Carvalho, CB Haas, ... Research Integrity and Peer Review 5, 1-19, 2020 | 103 | 2020 |
| Meta‐analysis of genotype‐phenotype associations in Bardet‐Biedl syndrome uncovers differences among causative genes V Niederlova, M Modrak, O Tsyklauri, M Huranova, O Stepanek Human Mutation 40 (11), 2068-2087, 2019 | 89 | 2019 |
| Bacterial nanotubes as a manifestation of cell death J Pospíšil, D Vítovská, O Kofroňová, K Muchová, H Šanderová, M Hubálek, ... Nature Communications 11 (1), 4963, 2020 | 45 | 2020 |
| Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis VMT de Jong, RZ Rousset, NE Antonio-Villa, AG Buenen, B Van Calster, ... Bmj 378, 2022 | 35 | 2022 |
| Fecal microbiome changes and specific anti-bacterial response in patients with IBD during anti-TNF therapy D Schierova, R Roubalova, M Kolar, Z Stehlikova, F Rob, Z Jackova, ... Cells 10 (11), 3188, 2021 | 21 | 2021 |
| brms: Bayesian Regression Models using Stan. 2018 PC Bürkner, J Gabry, S Weber, A Johnson, M Modrak URL https://CRAN. R-project. org/package= brms. R package version 2 (1), 526, 2021 | 21 | 2021 |
| MicroRNA dilution during oocyte growth disables the microRNA pathway in mammalian oocytes S Kataruka, M Modrak, V Kinterova, R Malik, DM Zeitler, F Horvat, J Kanka, ... Nucleic acids research 48 (14), 8050-8062, 2020 | 20 | 2020 |
| Simulation-based calibration checking for Bayesian computation: The choice of test quantities shapes sensitivity M Modrák, AH Moon, S Kim, P Bürkner, N Huurre, K Faltejsková, ... Bayesian Analysis 1 (1), 1-28, 2023 | 18 | 2023 |
| Probabilistic outlier identification for RNA sequencing generalized linear models S Mangiola, EA Thomas, M Modrák, A Vehtari, AT Papenfuss NAR genomics and bioinformatics 3 (1), lqab005, 2021 | 15 | 2021 |
| Nicotinic acetylcholine receptors expressed by striatal interneurons inhibit striatal activity and control striatal-dependent behaviors A Abbondanza, IR Bas, M Modrak, M Capek, J Minich, A Tyshkevich, ... Journal of Neuroscience 42 (13), 2786-2803, 2022 | 13 | 2022 |
| brms: Bayesian regression models using “Stan”(2.10. 0)[Computer software] PC Bürkner, J Gabry, S Weber, A Johnson, M Modrak, HS Badr, F Weber, ... | 13 | 2019 |
| Evolution of GameBots project M Bída, M Černý, J Gemrot, C Brom Entertainment Computing-ICEC 2012: 11th International Conference, ICEC 2012 …, 2012 | 13 | 2012 |
| Smart Areas: A Modular Approach to Simulation of Daily Life in an Open World Video Game M Černý, T Plch, M Marko, P Ondáček, C Brom 6th International Conference on Agents and Artificial Intelligence 1, 703-708, 2014 | 12* | 2014 |
| Bayesian workflow. 2020 A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... URL https://arxiv. org/abs, 2011 | 12 | 2011 |
| Using behavior objects to manage complexity in virtual worlds M Černý, T Plch, M Marko, J Gemrot, P Ondráček, C Brom IEEE Transactions on Computational Intelligence and AI in Games 9 (2), 166-180, 2016 | 11 | 2016 |
| Visual MCMC diagnostics using the bayesplot package J Gabry, M Modrák | 10 | 2022 |
| Comparing quality of reporting between preprints and peer-reviewed articles in the biomedical literature. Research Integrity and Peer Review, 5 (1) CFD Carneiro, VGS Queiroz, TC Moulin, CAM Carvalho, CB Haas, ... | 10 | 2020 |
| Genexpi: a toolset for identifying regulons and validating gene regulatory networks using time-course expression data M Modrák, J Vohradský BMC bioinformatics 19, 1-9, 2018 | 10 | 2018 |
