Literature DB >> 20309759

Weighted gene coexpression network analysis: state of the art.

Wei Zhao1, Peter Langfelder, Tova Fuller, Jun Dong, Ai Li, Steve Hovarth.   

Abstract

Weighted gene coexpression network analysis (WGCNA) has been applied to many important studies since its introduction in 2005. WGCNA can be used as a data exploratory tool or as a gene screening method; WGCNA can also be used as a tool to generate testable hypothesis for validation in independent data sets. In this article, we review key concepts of WGCNA and some of its applications in gene expression analysis of oncology, brain function, and protein interaction data.

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Year:  2010        PMID: 20309759     DOI: 10.1080/10543400903572753

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  129 in total

1.  Gene networks and haloperidol-induced catalepsy.

Authors:  O D Iancu; P Darakjian; B Malmanger; N A R Walter; S McWeeney; R Hitzemann
Journal:  Genes Brain Behav       Date:  2011-11-11       Impact factor: 3.449

2.  Gene co-expression networks identify Trem2 and Tyrobp as major hubs in human APOE expressing mice following traumatic brain injury.

Authors:  Emilie L Castranio; Anais Mounier; Cody M Wolfe; Kyong Nyon Nam; Nicholas F Fitz; Florent Letronne; Jonathan Schug; Radosveta Koldamova; Iliya Lefterov
Journal:  Neurobiol Dis       Date:  2017-05-11       Impact factor: 5.996

3.  Habitual aerobic exercise and circulating proteomic patterns in healthy adults: relation to indicators of healthspan.

Authors:  Jessica R Santos-Parker; Keli S Santos-Parker; Matthew B McQueen; Christopher R Martens; Douglas R Seals
Journal:  J Appl Physiol (1985)       Date:  2018-09-20

Review 4.  Systems genetics: a novel approach to dissect the genetic basis of osteoporosis.

Authors:  Charles R Farber
Journal:  Curr Osteoporos Rep       Date:  2012-09       Impact factor: 5.096

5.  Voluntary wheel running reduces voluntary consumption of ethanol in mice: identification of candidate genes through striatal gene expression profiling.

Authors:  T M Darlington; R D McCarthy; R J Cox; J Miyamoto-Ditmon; X Gallego; M A Ehringer
Journal:  Genes Brain Behav       Date:  2016-05-31       Impact factor: 3.449

6.  FoxP2 isoforms delineate spatiotemporal transcriptional networks for vocal learning in the zebra finch.

Authors:  Zachary Daniel Burkett; Nancy F Day; Todd Haswell Kimball; Caitlin M Aamodt; Jonathan B Heston; Austin T Hilliard; Xinshu Xiao; Stephanie A White
Journal:  Elife       Date:  2018-01-23       Impact factor: 8.140

7.  Integrated approach reveals diet, APOE genotype and sex affect immune response in APP mice.

Authors:  Kyong Nyon Nam; Cody M Wolfe; Nicholas F Fitz; Florent Letronne; Emilie L Castranio; Anais Mounier; Jonathan Schug; Iliya Lefterov; Radosveta Koldamova
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2017-10-14       Impact factor: 5.187

Review 8.  Modeling the diagnostic criteria for alcohol dependence with genetic animal models.

Authors:  John C Crabbe; Kenneth S Kendler; Robert J Hitzemann
Journal:  Curr Top Behav Neurosci       Date:  2013

9.  Transcriptional Changes in the Mouse Retina after Ocular Blast Injury: A Role for the Immune System.

Authors:  Felix L Struebing; Rebecca King; Ying Li; Micah A Chrenek; Polina N Lyuboslavsky; Curran S Sidhu; P Michael Iuvone; Eldon E Geisert
Journal:  J Neurotrauma       Date:  2017-08-18       Impact factor: 5.269

Review 10.  Introduction to sequencing the brain transcriptome.

Authors:  Robert Hitzemann; Priscila Darakjian; Nikki Walter; Ovidiu Dan Iancu; Robert Searles; Shannon McWeeney
Journal:  Int Rev Neurobiol       Date:  2014       Impact factor: 3.230

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