Comparing Statistical Methods for Constructing Large Scale Gene Networks

Partially observed bipartite network analysis to identify predictive connections in transcriptional regulatory networks

(2011) Angel Alvarez et al.   BMC Systems Biology

A general co-expression network-based approach to gene expression analysis: comparison and applications

(2010) Jianhua Ruan et al.   BMC Systems Biology

An Integrative -omics Approach to Identify Functional Sub-Networks in Human Colorectal Cancer

(2010) Rod K. Nibbe et al.   PLoS Computational Biology

Arabidopsis gene co-expression network and its functional modules

(2009) Linyong Mao et al.   BMC BIOINFORMATICS

Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells

(2009) Mike J Mason et al.   BMC GENOMICS

Partial Correlation Estimation by Joint Sparse Regression Models

(2009) Jie Peng et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Correlation signature of the macroscopic states of the gene regulatory network in cancer

(2009) N. Slavov et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

WGCNA: an R package for weighted correlation network analysis

(2008) Peter Langfelder et al.   BMC BIOINFORMATICS

VisANT: an integrative framework for networks in systems biology

(2008) Z. Hu et al.   BRIEFINGS IN BIOINFORMATICS

Learning Bayesian networks for discrete data

(2008) Faming Liang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Learning Causal Bayesian Network Structures From Experimental Data

(2008) Byron Ellis et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION