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Integrative random forest for gene regulatory network inference

2015196 citationsJournal Article

Authors

Francesca Petralia · Icahn School of Medicine at Mount Sinai

Pei Wang · Icahn School of Medicine at Mount Sinai

Jialiang Yang · Icahn School of Medicine at Mount Sinai

Zhidong Tu · Icahn School of Medicine at Mount Sinai

Abstract

The R code of iRafNet implementation and a tutorial are available at: http://research.mssm.edu/tulab/software/irafnet.html

Topics & Keywords

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

UN Sustainable Development Goals

Life in Land

Publication Details

Published in: Bioinformatics

Volume 31, Issue 12, pp. i197-i205

DOI: 10.1093/bioinformatics/btv268

Field-Weighted Citation Impact: 7.83

Integrative random forest for gene regulatory network inference | Researchclopedia