13 citations · 26 across the 5 of their papers we have counts for
5 papers
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…
Virtual screening with support vector machines and structure kernels
Pierre Mahé, Jean-Philippe Vert
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classif…
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…
The pharmacophore kernel for virtual screening with support vector machines
Pierre Mahé, Liva Ralaivola, Véronique Stoven +1
We introduce a family of positive definite kernels specifically optimized for the manipulation of 3D structures of molecules with kernel methods. The kernels are based on the compa…