29 citations · 32 across the 2 of their papers we have counts for
2 papers
q-bio.MN2016★ 3 cited
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models
Anthony Gitter, Furong Huang, Ragupathyraj Valluvan +2
Gene expression is a readily-observed quantification of transcriptional activity and cellular state that enables the recovery of the relationships between regulators and their targ…
stat.ML2012★ 29 cited
Learning loopy graphical models with latent variables: Efficient methods and guarantees
Animashree Anandkumar, Ragupathyraj Valluvan
The problem of structure estimation in graphical models with latent variables is considered. We characterize conditions for tractable graph estimation and develop efficient methods…