Table of Contents
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] | Eigen-Epistasis for detecting Gene-Gene interactions. BMC Bioinformatics, 18:54, BioMed Central, 2017.  |
| [2] | Eigen-Epistasis for detecting gene-gene interactions. BMC Bioinformatics, 18:np, BioMed Central, 2017. |
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