3 citations · 5 across the 4 of their papers we have counts for
5 papers
Neural Networks beyond explainability: Selective inference for sequence motifs
Antoine Villié, Philippe Veber, Yohann de Castro +1
Over the past decade, neural networks have been successful at making predictions from biological sequences, especially in the context of regulatory genomics. As in other fields of…
MOSAIC_SSD: a new web-tool for the Species Sensitivity Distribution, allowing to include censored data by maximum likelihood
Guillaume Kon Kam King, Philippe Veber, Sandrine Charles +1
Censored data are seldom taken into account in Species Sensitivity Distribution (SSD) analysis. However, they are found in virtually every dataset and sometimes represent the bette…
Statistical handling of reproduction data for exposure-response modelling
Marie Laure Delignette-Muller, Christelle Lopes, Philippe Veber +1
Reproduction data collected through standard bioassays are classically analyzed by regression in order to fit exposure-response curves and estimate ECx values (x% Effective Concent…
Lagrangian Approaches for a class of Matching Problems in Computational Biology
Nicola Yanev, Rumen Andonov, Philippe Veber +1
This paper presents efficient algorithms for solving the problem of aligning a protein structure template to a query amino-acid sequence, known as protein threading problem. We con…
Complex Qualitative Models in Biology: a new approach
Philippe Veber, Michel Le_Borgne, Anne Siegel +2
We advocate the use of qualitative models in the analysis of large biological systems. We show how qualitative models are linked to theoretical differential models and practical gr…