====== Virginie Stanislas ======

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<wrap second colum> PhD student (UEVE) \\
Université d'Évry Val d'Essonne \\
Laboratoire de Mathématiques et Modélisation d'Évry (UMR 8071) \\
I.B.G.B.I., 23 Bd. de France, 91037 Évry Cedex \\
<virginie.stanislas@math.cnrs.fr> \\

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===== Thesis =====
Development of statistical methods to detect epistasis in Genome-Wide Association Studies.

Co-direction : [[http://www.math-evry.cnrs.fr/members/cambroise/welcome|Christophe Ambroise]]  et [[http://www.math-evry.cnrs.fr/members/cdalmasso/welcome|Cyril Dalmasso]]


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===== Research topics =====
  * Genome-Wide association studies.

  * Epistasis, gene-gene interaction.

  * Structured penalized regression models



===== Software =====

  * Group Lasso Gene-Gene Eigen Epistasis (GGEE) :

The [[https://github.com/vstanislas/GGEE|GGEE]] package implements the group lasso Gene-Gene Eigen Epistasis (G-GEE) method for detecting epistasis at the gene level. The proposed functions allow to compute interaction variables for each pair of gene and to fit a general model with a Group Lasso penalty. The package allows to generate gene structured genotype data and continuous phenotype. The package is available from github and can be installed as follows from within R: 

<code>
# install.packages("devtools")
devtools::install_github("vstanislas/GGEE")
</code>


===== Publications =====

<btex>auth:stanislas</btex>


===== Seminars and Posters =====

  * Annual Conference of the International Society for Clinical Biostatistics (ISCB), Vigo, Spain,  July 2017

  * Statistical Methods for Post Genomic Data (SMPGD), London, England, January 2017

  * Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM), Lyon, June 2016 

  * Journées de Statistique (JdS), Montpellier, June 2016 

  * DAGStat 2016 - "Statistics under one umbrella", Göttingen, Germany, March 2016

  * Statistical Analysis of Massive Genomic Data (SAMGD), Évry, November 2015 

  * Statistique Mathématique et Applications, Fréjus, September 2015


  
===== Teaching =====


  * L2 Bio : TD Statistique

  * L1 Math-Eco : TD Analyse Réelle