DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data

2012139 citationsJournal Articlediamond Open Access

Authors

Marcel H. Schulz · Carnegie Mellon University

William E Devanny · Carnegie Mellon University

Anthony Gitter · Carnegie Mellon University

Shan Zhong · Carnegie Mellon University

Jason Ernst · University of California, Los Angeles

Ziv Bar‐Joseph · Carnegie Mellon University

Abstract

DREM 2.0 provides a unique framework for constructing and visualizing dynamic regulatory networks. DREM 2.0 can be downloaded from: http://www.sb.cs.cmu.edu/drem.

Topics & Keywords

Bioinformatics and Genomic Networks Gene Regulatory Network Analysis Gene expression and cancer classification

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: BMC Systems Biology

Volume 6, Issue 1, pp. 104-104

DOI: 10.1186/1752-0509-6-104

Field-Weighted Citation Impact: 3.22