104 citations · 143 across the 4 of their papers we have counts for
4 papers
Using convolutional neural networks for the classification of breast cancer images
Eric Bonnet
An important part of breast cancer staging is the assessment of the sentinel axillary node for early signs of tumor spreading. However, this assessment by pathologists is not alway…
Learning differential module networks across multiple experimental conditions
Pau Erola, Eric Bonnet, Tom Michoel
Module network inference is a statistical method to reconstruct gene regulatory networks, which uses probabilistic graphical models to learn modules of coregulated genes and their…
Integrative multi-omics module network inference with Lemon-Tree
Eric Bonnet, Laurence Calzone, Tom Michoel
Module network inference is an established statistical method to reconstruct co-expression modules and their upstream regulatory programs from integrated multi-omics datasets measu…
Validating module network learning algorithms using simulated data
Tom Michoel, Steven Maere, Eric Bonnet +8
In recent years, several authors have used probabilistic graphical models to learn expression modules and their regulatory programs from gene expression data. Here, we demonstrate…