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Johan Pensar
Johan Pensar
Associate Professor, Statistics and Data Science, University of Oslo
Bestätigte E-Mail-Adresse bei math.uio.no
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Zitiert von
Zitiert von
Jahr
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
1352018
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
1052020
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
862013
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
852021
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
672019
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
572021
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
522015
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
442013
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
402019
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
372016
Marginal pseudo-likelihood learning of discrete Markov network structures
J Pensar, H Nyman, J Niiranen, J Corander
Bayesian analysis 12 (4), 1195-1215, 2017
362017
A logical approach to context-specific independence
J Corander, A Hyttinen, J Kontinen, J Pensar, J Väänänen
Annals of Pure and Applied Logic, 2019
332019
Stratified graphical models-context-specific independence in graphical models
H Nyman, J Pensar, T Koski, J Corander
Bayesian Analysis 9 (4), 883-908, 2014
302014
Towards Scalable Bayesian Learning of Causal DAGs
J Viinikka, A Hyttinen, J Pensar, M Koivisto
Advances in Neural Information Processing Systems 33, 2020
292020
SuperDCA for genome-wide epistasis analysis
S Puranen, M Pesonen, J Pensar, YY Xu, JA Lees, SD Bentley, ...
Microbial genomics 4 (6), e000184, 2018
272018
Context-specific independence in graphical log-linear models
H Nyman, J Pensar, T Koski, J Corander
Computational Statistics 31 (4), 1493-1512, 2016
272016
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
232017
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
192020
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
182022
Learning discrete decomposable graphical models via constraint optimization
T Janhunen, M Gebser, J Rintanen, H Nyman, J Pensar, J Corander
Statistics and Computing 27 (1), 115-130, 2017
182017
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