| SCENIC: single-cell regulatory network inference and clustering S Aibar, CB González-Blas, T Moerman, VA Huynh-Thu, H Imrichova, ... Nature methods 14 (11), 1083, 2017 | 4010 | 2017 |
| Inferring regulatory networks from expression data using tree-based methods VA Huynh-Thu, A Irrthum, L Wehenkel, P Geurts PloS one 5 (9), e12776, 2010 | 1969 | 2010 |
| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature Methods, 2012 | 1860 | 2012 |
| dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data VA Huynh-Thu, P Geurts Scientific reports 8 (1), 3384, 2018 | 201 | 2018 |
| Gene regulatory network inference: an introductory survey VA Huynh-Thu, G Sanguinetti Gene Regulatory Networks, 1-23, 2019 | 183 | 2019 |
| MicroRNAs profiling in murine models of acute and chronic asthma: a relationship with mRNAs targets N Garbacki, E Di Valentin, VA Huynh-Thu, P Geurts, A Irrthum, C Crahay, ... PLoS One 6 (1), e16509, 2011 | 182 | 2011 |
| Combining tree-based and dynamical systems for the inference of gene regulatory networks VA Huynh-Thu, G Sanguinetti Bioinformatics, btu863, 2015 | 139 | 2015 |
| Statistical interpretation of machine learning-based feature importance scores for biomarker discovery VA Huynh-Thu, Y Saeys, L Wehenkel, P Geurts Bioinformatics 28 (13), 1766-1774, 2012 | 118 | 2012 |
| Identification of a microRNA landscape targeting the PI3K/Akt signaling pathway in inflammation-induced colorectal carcinogenesis C Josse, N Bouznad, P Geurts, A Irrthum, VA Huynh-Thu, L Servais, ... American Journal of Physiology-Gastrointestinal and Liver Physiology 306 (3 …, 2014 | 86 | 2014 |
| Mapping Gene Regulatory Networks in Drosophila Eye Development by Large-Scale Transcriptome Perturbations and Motif Inference D Potier, K Davie, G Hulselmans, M Naval Sanchez, L Haagen, ... Cell reports, 2014 | 82 | 2014 |
| Myelin-derived lipids modulate macrophage activity by liver X receptor activation JFJ Bogie, S Timmermans, VA Huynh-Thu, A Irrthum, HJM Smeets, ... PloS one 7 (9), e44998, 2012 | 77 | 2012 |
| NIMEFI: Gene Regulatory Network Inference using Multiple Ensemble Feature Importance Algorithms J Ruyssinck, VA Huynh-Thu, P Geurts, T Dhaene, P Demeester, Y Saeys PLOS ONE 9 (3), e92709, 2014 | 71 | 2014 |
| Strand‐specific, high‐resolution mapping of modified RNA polymerase II L Milligan, VA Huynh‐Thu, C Delan‐Forino, A Tuck, E Petfalski, ... Molecular systems biology 12 (6), 874, 2016 | 60 | 2016 |
| Discovery of biomarker candidates associated with the risk of short-term and mid/long-term relapse after infliximab withdrawal in Crohn’s patients: a proteomics-based study N Pierre, D Baiwir, VA Huynh-Thu, G Mazzucchelli, N Smargiasso, ... Gut 70 (8), 1450-1457, 2021 | 29 | 2021 |
| Gene regulatory networks: Methods and protocols VA Huynh-Thu Humana Press, 2019 | 27 | 2019 |
| Unsupervised Gene Network Inference with Decision Trees and Random Forests VA Huynh-Thu, P Geurts Gene Regulatory Networks, 195-215, 2019 | 25 | 2019 |
| Bridging physiological and evolutionary time‐scales in a gene regulatory network G Marchand, VA Huynh‐Thu, NC Kane, S Arribat, D Varès, D Rengel, ... New Phytologist 203 (2), 685-696, 2014 | 20 | 2014 |
| Exploiting tree-based variable importances to selectively identify relevant variables VA Huynh-Thu, L Wehenkel, P Geurts JMLR: Workshop and Conference Proceedings 4, 60-73, 2008 | 19* | 2008 |
| From global to local MDI variable importances for random forests and when they are Shapley values A Sutera, G Louppe, VA Huynh-Thu, L Wehenkel, P Geurts Advances in Neural Information Processing Systems 34, 3533-3543, 2021 | 18 | 2021 |
| Distinct blood protein profiles associated with the risk of short-term and mid/long-term clinical relapse in patients with Crohn’s disease stopping infliximab: when the … N Pierre, VA Huynh-Thu, T Marichal, M Allez, Y Bouhnik, D Laharie, ... Gut, 2022 | 16 | 2022 |
Pierre GeurtsProfessor of Computer Science, University of Liège, BelgiumVerified email at ulg.ac.be
