90 citations · 154 across the 3 of their papers we have counts for
3 papers · 1 filter
Reverse-engineering transcriptional modules from gene expression data
Tom Michoel, Riet De Smet, Anagha Joshi +2
"Module networks" are a framework to learn gene regulatory networks from expression data using a probabilistic model in which coregulated genes share the same parameters and condit…
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…