Stephane Wenric, Ph.D.
Dr. Stephane Wenric, Ph.D. is a Postdoctoral Fellow at the Center for Genomic Health. He is a member of the Charles Bronfman Institute of Personalized Medicine at the Ichan School of Medicine at Mount Sinai.
He is a computational genomicist working at the crossing of computer science and genetics/genomics, applying machine learning, algorithmics, and software engineering methods to data arising from population genomics and cancer genomics related questions. His past and present research projects include using miRNAs as cancer biomarkers, studying non-coding RNA in breast cancer samples, analyzing pharmacogenetics phenotypes in ancestrally diverse populations, using graph theory analysis on IBD networks and developing novel, machine learning based, gene prioritization methods.
Dr. Wenric earned his Master’s degree in biomedical engineering and his Ph.D. in cancer genetics from the University of Liege.
Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies.
Wenric S, Shemirani R.
Front Genet. 2018 Aug 3;9:297. doi: 10.3389/fgene.2018.00297. eCollection 2018.
Variations of circulating cardiac biomarkers during and after anthracycline-containing chemotherapy in breast cancer patients.
Frères P, Bouznad N, Servais L, Josse C, Wenric S, Poncin A, Thiry J, Moonen M, Oury C, Lancellotti P, Bours V, Jerusalem G.
BMC Cancer. 2018 Jan 29;18(1):102. doi: 10.1186/s12885-018-4015-4.
Transcriptome-wide analysis of natural antisense transcripts shows their potential role in breast cancer.
Wenric S, ElGuendi S, Caberg JH, Bezzaou W, Fasquelle C, Charloteaux B, Karim L, Hennuy B, Frères P, Collignon J, Boukerroucha M, Schroeder H, Olivier F, Jossa V, Jerusalem G, Josse C, Bours V.
Sci Rep. 2017 Dec 12;7(1):17452. doi: 10.1038/s41598-017-17811-2.
Exome copy number variation detection: Use of a pool of unrelated healthy tissue as reference sample.
Wenric S, Sticca T, Caberg JH, Josse C, Fasquelle C, Herens C, Jamar M, Max S, Gothot A, Caers J, Bours V.
Genet Epidemiol. 2017 Jan;41(1):35-40. doi: 10.1002/gepi.22019. Epub 2016 Nov 10.
Genomic studies of multiple myeloma reveal an association between X chromosome alterations and genomic profile complexity.
Sticca T, Caberg JH, Wenric S, Poulet C, Herens C, Jamar M, Josse C, El Guendi S, Max S, Beguin Y, Gothot A, Caers J, Bours V.
Genes Chromosomes Cancer. 2017 Jan;56(1):18-27. doi: 10.1002/gcc.22397. Epub 2016 Aug 18.
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.
Oncotarget. 2016 Feb 2;7(5):5416-28. doi: 10.18632/oncotarget.6786.
Evaluation of BRCA1-related molecular features and microRNAs as prognostic factors for triple negative breast cancers.
Boukerroucha M, Josse C, ElGuendi S, Boujemla B, Frères P, Marée R, Wenric S, Segers K, Collignon J, Jerusalem G, Bours V.
BMC Cancer. 2015 Oct 21;15:755. doi: 10.1186/s12885-015-1740-9.