136 citations
- InsermFR5 papers
- Institut CurieFR5 papers
- Cancer et génome: Bioinformatique, biostatistiques et épidémiologie des systèmes complexes4 papers
- École Nationale Supérieure des Mines de ParisFR3 papers
- Génomique Bioinformatique et ApplicationsFR3 papers
- Duke UniversityUS2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- bioMérieux (United States)US1 paper
- Centre for Research in Engineering Surface TechnologyIE1 paper
- Centre Inria de SaclayFR1 paper
- Consorzio di Bioingegneria e Informatica MedicaIT1 paper
- Département de mathématiques et applicationsFR1 paper
12 papers
Supervised Quantile Normalisation
Marine Le Morvan, Jean-Philippe Vert
Quantile normalisation is a popular normalisation method for data subject to unwanted variations such as images, speech, or genomic data. It applies a monotonic transformation to t…
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data
Kévin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras +1
Microbial identification is a central issue in microbiology, in particular in the fields of infectious diseases diagnosis and industrial quality control. The concept of species is…
Large-scale Machine Learning for Metagenomics Sequence Classification
Kévin Vervier, Pierre Mahé, Maud Tournoud +2
Metagenomics characterizes the taxonomic diversity of microbial communities by sequencing DNA directly from an environmental sample. One of the main challenges in metagenomics data…
Tight convex relaxations for sparse matrix factorization
Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
Based on a new atomic norm, we propose a new convex formulation for sparse matrix factorization problems in which the number of nonzero elements of the factors is assumed fixed and…
TIGRESS: Trustful Inference of Gene REgulation using Stability Selection
Anne-Claire Haury, Fantine Mordelet, Paola Vera-Licona +1
Inferring the structure of gene regulatory networks (GRN) from gene expression data has many applications, from the elucidation of complex biological processes to the identificatio…
The group fused Lasso for multiple change-point detection
Kevin Bleakley, Jean-Philippe Vert
We present the group fused Lasso for detection of multiple change-points shared by a set of co-occurring one-dimensional signals. Change-points are detected by approximating the or…