Structural bioinformatis, chemoinformatic, and drug design :
Characterization and comparaison of protein structures ;
Description and prediction of protein-ligand interactions ;
Description and comparison of protein pockets ;
Protein flexibility ;
Protein asymmetry ;
Structural alphabet ;
Extraction of structural and fonctional motifs.
Descriptive statistics ;
Univariate and multivariate statistics ;
Machine learning methods : Linear regression, Logistic regression, CART, Random Forest, Linear Discriminant Analysis, ...