Tom Michoel
Tom Michoel
Computational Biology Unit, Department of Informatics, University of Bergen
Verified email at - Homepage
Cited by
Cited by
Microglial brain region− dependent diversity and selective regional sensitivities to aging
K Grabert, T Michoel, MH Karavolos, S Clohisey, JK Baillie, MP Stevens, ...
Nature neuroscience 19 (3), 504-516, 2016
Cardiometabolic risk loci share downstream cis-and trans-gene regulation across tissues and diseases
O Franzén, R Ermel, A Cohain, NK Akers, A Di Narzo, HA Talukdar, ...
Science 353 (6301), 827-830, 2016
Module networks revisited: computational assessment and prioritization of model predictions
A Joshi, R De Smet, K Marchal, Y Van de Peer, T Michoel
Bioinformatics 25 (4), 490-496, 2009
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
Cross-tissue regulatory gene networks in coronary artery disease
HA Talukdar, HF Asl, RK Jain, R Ermel, A Ruusalepp, O Franzén, BA Kidd, ...
Cell systems 2 (3), 196-208, 2016
Analysis of a Gibbs sampler method for model-based clustering of gene expression data
A Joshi, Y Van de Peer, T Michoel
Bioinformatics 24 (2), 176-183, 2008
Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks
T Michoel, R De Smet, A Joshi, Y Van de Peer, K Marchal
BMC systems biology 3 (1), 1-13, 2009
Integrative multi-omics module network inference with Lemon-Tree
E Bonnet, L Calzone, T Michoel
PLoS Comput Biol 11 (2), e1003983, 2015
Alignment and integration of complex networks by hypergraph-based spectral clustering
T Michoel, B Nachtergaele
Physical Review E 86 (5), 056111, 2012
Module network inference from a cancer gene expression data set identifies microRNA regulated modules
E Bonnet, M Tatari, A Joshi, T Michoel, K Marchal, G Berx, Y Van de Peer
PloS one 5 (4), e10162, 2010
Cattle trypanosomosis: the diversity of trypanosomes and implications for disease epidemiology and control
H Auty, SJ Torr, T Michoel, S Jayaraman, LJ Morrison
Rev Sci Tech 34 (2), 587-98, 2015
Plasma cholesterol–induced lesion networks activated before regression of early, mature, and advanced atherosclerosis
JLM Björkegren, S Hägg, HA Talukdar, HF Asl, RK Jain, C Cedergren, ...
PLoS Genet 10 (2), e1004201, 2014
Validating module network learning algorithms using simulated data
T Michoel, S Maere, E Bonnet, A Joshi, Y Saeys, T Van den Bulcke, ...
BMC bioinformatics 8 (2), 1-15, 2007
Predicting Gene Function from Uncontrolled Expression Variation among Individual Wild-Type Arabidopsis Plants
R Bhosale, JB Jewell, J Hollunder, AJK Koo, M Vuylsteke, T Michoel, ...
The Plant Cell 25 (8), 2865-2877, 2013
Human validation of genes associated with a murine atherosclerotic phenotype
G Pasterkamp, SW Van Der Laan, S Haitjema, H Foroughi Asl, ...
Arteriosclerosis, thrombosis, and vascular biology 36 (6), 1240-1246, 2016
Expression quantitative trait Loci acting across multiple tissues are enriched in inherited risk for coronary artery disease
H Foroughi Asl, HA Talukdar, ASD Kindt, RK Jain, R Ermel, A Ruusalepp, ...
Circulation: Cardiovascular Genetics 8 (2), 305-315, 2015
Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data
E Bonnet, T Michoel, Y Van de Peer
Bioinformatics 26 (18), i638-i644, 2010
Nonextensive Bose–Einstein condensation model
T Michoel, A Verbeure
Journal of Mathematical Physics 40 (3), 1268-1279, 1999
Network analysis of coronary artery disease risk genes elucidates disease mechanisms and druggable targets
H Lempiäinen, I Brćnne, T Michoel, V Tragante, B Vilne, TR Webb, ...
Scientific reports 8 (1), 1-14, 2018
Silencing of the EPHB3 tumor-suppressor gene in human colorectal cancer through decommissioning of a transcriptional enhancer
S Jägle, K Rönsch, S Timme, H Andrlová, M Bertrand, M Jäger, A Proske, ...
Proceedings of the National Academy of Sciences 111 (13), 4886-4891, 2014
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