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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
Development of statistical methods to detect epistasis in Genome-Wide Association Studies.
Co-direction : Christophe Ambroise et Cyril Dalmasso
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")
2017 | |
[1] | Stanislas, V., Dalmasso, C. & Ambroise, C. Eigen-Epistasis for detecting Gene-Gene interactions. BMC Bioinformatics, 18:54, BioMed Central, 2017. |
[2] | Stanislas, V., Dalmasso, C. & Ambroise, C. Eigen-Epistasis for detecting gene-gene interactions. BMC Bioinformatics, 18:np, BioMed Central, 2017. |