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
7 papers · 1 filter
Robust Seriation and Applications to Cancer Genomics
Antoine Recanati, Nicolas Servant, Jean-Philippe Vert +1
The seriation problem seeks to reorder a set of elements given pairwise similarity information, so that elements with higher similarity are closer in the resulting sequence. When a…
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
Luca Albergante, Evgeny M. Mirkes, Huidong Chen +6
Large datasets represented by multidimensional data point clouds often possess non-trivial distributions with branching trajectories and excluded regions, with the recent single-ce…
Regularized Bidimensional Estimation of the Hazard Rate
Vivien Goepp, Jean-Christophe Thalabard, Grégory Nuel +1
In epidemiological or demographic studies, with variable age at onset, a typical quantity of interest is the incidence of a disease (for example the cancer incidence). In these stu…
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…
Machine learning and genomics: precision medicine vs. patient privacy
Chloé-Agathe Azencott
Machine learning can have major societal impact in computational biology applications. In particular, it plays a central role in the development of precision medicine, whereby trea…
The Weighted Kendall and High-order Kernels for Permutations
Yunlong Jiao, Jean-Philippe Vert
We propose new positive definite kernels for permutations. First we introduce a weighted version of the Kendall kernel, which allows to weight unequally the contributions of differ…