599 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- École Nationale Supérieure des Mines de ParisFR13 papers
- InsermFR11 papers
- Institut CurieFR11 papers
- Université Paris Sciences et LettresFR9 papers
- Cancer et génome: Bioinformatique, biostatistiques et épidémiologie des systèmes complexes6 papers
- École Normale Supérieure - PSLFR5 papers
- University of LeicesterGB5 papers
- N. I. Lobachevsky State University of Nizhny NovgorodRU4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Département de mathématiques et applicationsFR3 papers
- Mathématiques Appliquées à Paris 5FR2 papers
- Broad InstituteUS1 paper
6 papers · 1 filter
DropLasso: A robust variant of Lasso for single cell RNA-seq data
Beyrem Khalfaoui, Jean-Philippe Vert
Single-cell RNA sequencing (scRNA-seq) is a fast growing approach to measure the genome-wide transcriptome of many individual cells in parallel, but results in noisy data with many…
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models
Marine Le Morvan, Jean-Philippe Vert
Learning sparse linear models with two-way interactions is desirable in many application domains such as genomics. l1-regularised linear models are popular to estimate sparse model…
The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures
Anne-Claire Haury, Pierre Gestraud, Jean-Philippe Vert
Motivation: Biomarker discovery from high-dimensional data is a crucial problem with enormous applications in biology and medicine. It is also extremely challenging from a statisti…
Kernel matrix regression
Yoshihiro Yamanishi, Jean-Philippe Vert
We address the problem of filling missing entries in a kernel Gram matrix, given a related full Gram matrix. We attack this problem from the viewpoint of regression, assuming that…
Graph kernels based on tree patterns for molecules
Pierre Mahé, Jean-Philippe Vert
Motivated by chemical applications, we revisit and extend a family of positive definite kernels for graphs based on the detection of common subtrees, initially proposed by Ramon et…
Kernel methods in genomics and computational biology
Jean-Philippe Vert
Support vector machines and kernel methods are increasingly popular in genomics and computational biology, due to their good performance in real-world applications and strong modul…