NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms.

NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms.

One of the long-standing open challenges in computational systems biology is the topology inference of gene regulatory networks from high-throughput omics data. Recently, two community-wide efforts, DREAM4 and DREAM5, have been established to benchmark network inference techniques using gene express...

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Bibliographic Details
Main Authors: Joeri Ruyssinck, Vân Anh Huynh-Thu, Pierre Geurts, Tom Dhaene, Piet Demeester, Yvan Saeys
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3965471?pdf=render

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