| 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 | 899 | 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 | 230 | 2016 |
| 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 | 110 | 2016 |
| 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 | 110 | 2015 |
| 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 | 110 | 2009 |
| Integrative multi-omics module network inference with Lemon-Tree E Bonnet, L Calzone, T Michoel PLoS computational biology 11 (2), e1003983, 2015 | 93 | 2015 |
| Cattle trypanosomosis: the diversity of trypanosomes and implications for disease epidemiology and control. H Auty, SJ Torr, T Michoel, S Jayaraman, LJ Morrison Revue scientifique et technique (International Office of Epizootics) 34 (2 …, 2015 | 81 | 2015 |
| Alignment and integration of complex networks by hypergraph-based spectral clustering T Michoel, B Nachtergaele Physical Review E 86 (5), 056111, 2012 | 81 | 2012 |
| 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 | 81 | 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 | 76 | 2009 |
| 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 | 67 | 2010 |
| Plasma cholesterol–induced lesion networks activated before regression of early, mature, and advanced atherosclerosis JLM Björkegren, S Hägg, HA Talukdar, H Foroughi Asl, RK Jain, ... PLoS genetics 10 (2), e1004201, 2014 | 65 | 2014 |
| 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 | 53 | 2013 |
| 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, 1-15, 2007 | 51 | 2007 |
| 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 | 46 | 2016 |
| 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), 3434, 2018 | 45 | 2018 |
| 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 | 45 | 2015 |
| Contribution of gene regulatory networks to heritability of coronary artery disease L Zeng, HA Talukdar, S Koplev, C Giannarelli, T Ivert, LM Gan, ... Journal of the American College of Cardiology 73 (23), 2946-2957, 2019 | 41 | 2019 |
| 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 | 40 | 2010 |
| 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 | 38 | 2014 |
Anagha JoshiProfessor, University of Bergen, NorwayVerified email at uib.no
