| Disease-associated genotypes of the commensal skin bacterium Staphylococcus epidermidis G Méric, L Mageiros, J Pensar, M Laabei, K Yahara, B Pascoe, N Kittiwan, ... Nature communications 9 (1), 5034, 2018 | 159 | 2018 |
| Plasmids shaped the recent emergence of the major nosocomial pathogen Enterococcus faecium S Arredondo-Alonso, J Top, A McNally, S Puranen, M Pesonen, J Pensar, ... MBio 11 (1), 10.1128/mbio. 03284-19, 2020 | 123 | 2020 |
| Genome evolution and the emergence of pathogenicity in avian Escherichia coli L Mageiros, G Méric, SC Bayliss, J Pensar, B Pascoe, E Mourkas, ... Nature Communications 12 (1), 1-13, 2021 | 115 | 2021 |
| The genetics of sexuality and aggression (GSA) twin samples in Finland A Johansson, P Jern, P Santtila, B von der Pahlen, E Eriksson, ... Twin Research and Human Genetics 16 (1), 150-156, 2013 | 95 | 2013 |
| Integrated analysis of population genomics, transcriptomics and virulence provides novel insights into Streptococcus pyogenes pathogenesis P Kachroo, JM Eraso, SB Beres, RJ Olsen, L Zhu, W Nasser, PE Bernard, ... Nature genetics 51 (3), 548-559, 2019 | 78 | 2019 |
| The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires M Pavlović, L Scheffer, K Motwani, C Kanduri, R Kompova, N Vazov, ... Nature Machine Intelligence 3 (11), 936-944, 2021 | 74 | 2021 |
| Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models J Pensar, H Nyman, T Koski, J Corander Data mining and knowledge discovery 29 (2), 503-533, 2015 | 60 | 2015 |
| Towards Scalable Bayesian Learning of Causal DAGs J Viinikka, A Hyttinen, J Pensar, M Koivisto Advances in Neural Information Processing Systems 33, 2020 | 46 | 2020 |
| Learning chordal Markov networks by constraint satisfaction J Corander, T Janhunen, J Rintanen, H Nyman, J Pensar Advances in Neural Information Processing Systems, 1349-1357, 2013 | 46 | 2013 |
| Genome-wide epistasis and co-selection study using mutual information J Pensar, S Puranen, B Arnold, N MacAlasdair, J Kuronen, G Tonkin-Hill, ... Nucleic acids research 47 (18), e112-e112, 2019 | 45 | 2019 |
| The role of local partial independence in learning of Bayesian networks J Pensar, H Nyman, J Lintusaari, J Corander International Journal of Approximate Reasoning 69, 91-105, 2016 | 45 | 2016 |
| Marginal pseudo-likelihood learning of discrete Markov network structures J Pensar, H Nyman, J Niiranen, J Corander Bayesian analysis 12 (4), 1195-1215, 2017 | 39 | 2017 |
| House price prediction with gradient boosted trees under different loss functions A Hjort, J Pensar, I Scheel, DE Sommervoll Journal of Property Research 39 (4), 338-364, 2022 | 37 | 2022 |
| A logical approach to context-specific independence J Corander, A Hyttinen, J Kontinen, J Pensar, J Väänänen Annals of Pure and Applied Logic, 2019 | 36 | 2019 |
| Stratified graphical models-context-specific independence in graphical models H Nyman, J Pensar, T Koski, J Corander Bayesian Analysis 9 (4), 883-908, 2014 | 35 | 2014 |
| SuperDCA for genome-wide epistasis analysis S Puranen, M Pesonen, J Pensar, YY Xu, JA Lees, SD Bentley, ... Microbial genomics 4 (6), e000184, 2018 | 28 | 2018 |
| Context-specific independence in graphical log-linear models H Nyman, J Pensar, T Koski, J Corander Computational Statistics 31 (4), 1493-1512, 2016 | 28 | 2016 |
| Learning Gaussian graphical models with fractional marginal pseudo-likelihood J Leppä-aho, J Pensar, T Roos, J Corander International Journal of Approximate Reasoning 83, 21-42, 2017 | 25 | 2017 |
| Causal discovery for the microbiome J Corander, WP Hanage, J Pensar The Lancet Microbe 3 (11), e881-e887, 2022 | 23 | 2022 |
| New pathogenesis mechanisms and translational leads identified by multidimensional analysis of necrotizing myositis in primates P Kachroo, JM Eraso, RJ Olsen, L Zhu, SL Kubiak, L Pruitt, P Yerramilli, ... MBio 11 (1), 10.1128/mbio. 03363-19, 2020 | 19 | 2020 |
