Influence of Statistical Estimators of Mutual Information and Data Heterogeneity on the Inference of Gene Regulatory Networks

Structural influence of gene networks on their inference: analysis of C3NET

(2011) Gökmen Altay et al.   Biology Direct

Network biology: a direct approach to study biological function

(2011) Frank Emmert-Streib et al.   Wiley Interdisciplinary Reviews-Systems Biology and Medicine

Inferring the conservative causal core of gene regulatory networks

(2010) Gökmen Altay et al.   BMC Systems Biology

Local network-based measures to assess the inferability of different regulatory networks

(2010) F. Emmert-Streib et al.   IET Systems Biology

Inference of Regulatory Gene Interactions from Expression Data Using Three-Way Mutual Information

(2009) John Watkinson et al.   Annals of the New York Academy of Sciences

A unifying view of 21st century systems biology

(2009) Marc Vidal   FEBS LETTERS

minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information

(2008) Patrick E Meyer et al.   BMC BIOINFORMATICS

Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information

(2008) Weijun Luo et al.   BMC BIOINFORMATICS

Survival of the sparsest: robust gene networks are parsimonious

(2008) Robert D Leclerc   Molecular Systems Biology