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Doctorante (BDI)
tel : +(33) 1 64 85 35 36
fax : +(33) 1 64 85 35 49
Laboratoire Statistique et Génome
UMR CNRS 8071, USC INRA
23 boulevard de France
91037 Évry, France
Here is a detailed Vitae CV.
I am a Ph.D student in Biostatistics at the Evry University. I am working in the Statistique et Génome Lab and in Pharnext, a french biopharmaceutical company. My projects focuse on expression data analysis, including normalization and gene selection issues as well as network inference strategies.
Hypothesis testing: differential analysis, over-representation tests
Network inference: Gaussian graphical models, penalized regression
Heterogeneous data integration: omics data, PPI, pathways…
Breast cancer
Statistical methods for a robust analysis of the transcriptome by the integration of biological prior knowledge.
Expression data analysis (Master 2 GBI, Evry) - 10h TP
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Statistical analysis of transcriptome data (Master 2 EGOISt, Rouen) - 10h CM / 10h TP
List of publications by jeanmougin ordered by year
to appear
Preprint
- Network inference in breast cancer with Gaussian graphical models and extensions
Jeanmougin, M. and Charbonnier, C. and Guedj, M. and Chiquet, J.
2012
In proceedings
- Improving gene signatures by the identification of differentially expressed modules in molecular networks : a local-score approach.
Jeanmougin, M.
JOBIM pp. 103-111
Ambroise, C. and Bouaziz, M. and Guedj, M.
Thesis
- Statistical methods for robust analysis of transcriptome data by integration of biological knowledge.
Jeanmougin, M.
Thèse de doctorat, Université d'Évry val d'Essonne
Book chapter
- Multiple-testing in large-scale genetic studies
Bouaziz, M. and Jeanmougin, M. and Guedj, M.
Bonin A, Pompanon F eds, Methods in Molecular Biology Series, Humana Press.
2011
Seminar and communication
2010
Journal article
- Should We Abandon the t-Test in the Analysis of Gene Expression Microarray Data: A Comparison of Variance Modeling Strategies
Jeanmougin, M. and de Reynies, A. and Marisa, L. and Paccard, C. and Nuel, G. and Guedj, M.
PLoS ONE Vol. 5 No. 9 pp. e12336
http://dx.doi.org/10.1371%2Fjournal.pone.0012336
2009
Seminar and communication
- Should we abandon the t-test: a statistical comparison of 8 tests of differential gene expression. SMPGD, Paris.
Jeanmougin, M. and Guedj, M.
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by Stat & Génome
