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members:vstanislas:welcome

Virginie Stanislas

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
cv2017.pdf

Thesis

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

Co-direction : Christophe Ambroise et Cyril Dalmasso

Research topics

  • Genome-Wide association studies.
  • Epistasis, gene-gene interaction.
  • Structured penalized regression models

Software

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

The 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:

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

Publications

2017
[1]
Stanislas, V., Dalmasso, C. & Ambroise, C. Eigen-Epistasis for detecting Gene-Gene interactions. BMC Bioinformatics, 18:54, BioMed Central, 2017. implementation

Seminars and Posters

  • 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
members/vstanislas/welcome.txt · Last modified: 2017/05/31 10:15 by Virginie Stanislas

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