ARGENET - Algorithm for Reconstruction of GEne NETworks


Reliable inference of large-scale gene regulatory interactions from experimental data can contribute to a better understanding of cell physiology and pathogenesis. ARGENET is a novel gene network inference tool integrating correlation analysis with variational Bayesian variable selection able to infer directed edges representing putative causal relationships between tens of thousands of genes from non-time-course expression level data.


Current version v1