90 citations · 182 across the 4 of their papers we have counts for
4 papers
Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks
Tom Michoel, Riet De Smet, Anagha Joshi +2
We have compared a recently developed module-based algorithm LeMoNe for reverse-engineering transcriptional regulatory networks to a mutual information based direct algorithm CLR,…
Module networks revisited: computational assessment and prioritization of model predictions
Anagha Joshi, Riet De Smet, Kathleen Marchal +2
The solution of high-dimensional inference and prediction problems in computational biology is almost always a compromise between mathematical theory and practical constraints such…
Analysis of a Gibbs sampler method for model based clustering of gene expression data
Anagha Joshi, Yves Van de Peer, Tom Michoel
Over the last decade, a large variety of clustering algorithms have been developed to detect coregulatory relationships among genes from microarray gene expression data. Model base…
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…