285 citations · 289 across the 4 of their papers we have counts for
4 papers
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Francis Bach, Jean-Philippe Vert
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from the…
Virtual screening of GPCRs: an in silico chemogenomics approach
Laurent Jacob, Brice Hoffmann, Véronique Stoven +1
The G-protein coupled receptor (GPCR) superfamily is currently the largest class of therapeutic targets. \textit{In silico} prediction of interactions between GPCRs and small molec…
Kernel methods for in silico chemogenomics
Laurent Jacob, Jean-Philippe Vert
Predicting interactions between small molecules and proteins is a crucial ingredient of the drug discovery process. In particular, accurate predictive models are increasingly used…
Epitope prediction improved by multitask support vector machines
Laurent Jacob, Jean-Philippe Vert
Motivation: In silico methods for the prediction of antigenic peptides binding to MHC class I molecules play an increasingly important role in the identification of T-cell epitopes…