Matrix factorization methods for population genomics and association mapping

Doctoral student: 
CAYE Kevin
Date de soutenance: 
Monday, December 11, 2017
Supervisors: 
Name: 
François Olivier
Laboratory: 
TIMC-IMAG
Name: 
Olivier Michel
Laboratory: 
GIPSA-lab
Theses.fr: 
Statistical learning method for ecological association tests
Summary: 

Access to data increasingly massive have changed significantly the way to represent the health and the life. In this context, we need to develop statistical model which are suitable both for biological problem and large data set problem. In particular, we are interested in statistical model used during association studies between environment and genetics.