Geurts P - Search Results

1

Identification of a microRNA landscape targeting the PI3K/Akt signaling pathway in inflammation-induced colorectal carcinogenesis.

Josse C, Bouznad N, Geurts P, Irrthum A, Huynh-Thu VA, Servais L, Hego A, Delvenne P, Bours V, Oury C. Josse C, et al. Among authors: geurts p. Am J Physiol Gastrointest Liver Physiol. 2014 Feb;306(3):G229-43. doi: 10.1152/ajpgi.00484.2012. Epub 2013 Dec 12. Am J Physiol Gastrointest Liver Physiol. 2014. PMID: 24464560 Free article.

2

MicroRNAs profiling in murine models of acute and chronic asthma: a relationship with mRNAs targets.

Garbacki N, Di Valentin E, Huynh-Thu VA, Geurts P, Irrthum A, Crahay C, Arnould T, Deroanne C, Piette J, Cataldo D, Colige A. Garbacki N, et al. Among authors: geurts p. PLoS One. 2011 Jan 28;6(1):e16509. doi: 10.1371/journal.pone.0016509. PLoS One. 2011. PMID: 21305051 Free PMC article.

3

Inferring regulatory networks from expression data using tree-based methods.

Huynh-Thu VA, Irrthum A, Wehenkel L, Geurts P. Huynh-Thu VA, et al. Among authors: geurts p. PLoS One. 2010 Sep 28;5(9):e12776. doi: 10.1371/journal.pone.0012776. PLoS One. 2010. PMID: 20927193 Free PMC article.

4

dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data.

Huynh-Thu VA, Geurts P. Huynh-Thu VA, et al. Among authors: geurts p. Sci Rep. 2018 Feb 21;8(1):3384. doi: 10.1038/s41598-018-21715-0. Sci Rep. 2018. PMID: 29467401 Free PMC article.

5

Unsupervised Gene Network Inference with Decision Trees and Random Forests.

Huynh-Thu VA, Geurts P. Huynh-Thu VA, et al. Among authors: geurts p. Methods Mol Biol. 2019;1883:195-215. doi: 10.1007/978-1-4939-8882-2_8. Methods Mol Biol. 2019. PMID: 30547401 Free article.

6

Supervised learning with decision tree-based methods in computational and systems biology.

Geurts P, Irrthum A, Wehenkel L. Geurts P, et al. Mol Biosyst. 2009 Dec;5(12):1593-605. doi: 10.1039/b907946g. Epub 2009 Oct 5. Mol Biosyst. 2009. PMID: 20023720 Review.

7

NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms.

Ruyssinck J, Huynh-Thu VA, Geurts P, Dhaene T, Demeester P, Saeys Y. Ruyssinck J, et al. Among authors: geurts p. PLoS One. 2014 Mar 25;9(3):e92709. doi: 10.1371/journal.pone.0092709. eCollection 2014. PLoS One. 2014. PMID: 24667482 Free PMC article.

8

Circulating microRNA-based screening tool for breast cancer.

Frères P, Wenric S, Boukerroucha M, Fasquelle C, Thiry J, Bovy N, Struman I, Geurts P, Collignon J, Schroeder H, Kridelka F, Lifrange E, Jossa V, Bours V, Josse C, Jerusalem G. Frères P, et al. Among authors: geurts p. Oncotarget. 2016 Feb 2;7(5):5416-28. doi: 10.18632/oncotarget.6786. Oncotarget. 2016. PMID: 26734993 Free PMC article.

9

Statistical interpretation of machine learning-based feature importance scores for biomarker discovery.

Huynh-Thu VA, Saeys Y, Wehenkel L, Geurts P. Huynh-Thu VA, et al. Among authors: geurts p. Bioinformatics. 2012 Jul 1;28(13):1766-74. doi: 10.1093/bioinformatics/bts238. Epub 2012 Apr 25. Bioinformatics. 2012. PMID: 22539669 Free article.

10

Bridging physiological and evolutionary time-scales in a gene regulatory network.

Marchand G, Huynh-Thu VA, Kane NC, Arribat S, Varès D, Rengel D, Balzergue S, Rieseberg LH, Vincourt P, Geurts P, Vignes M, Langlade NB. Marchand G, et al. Among authors: geurts p. New Phytol. 2014 Jul;203(2):685-696. doi: 10.1111/nph.12818. Epub 2014 May 2. New Phytol. 2014. PMID: 24786523 Free article.

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