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Weighted gene co-expression network analysis of expression data of monozygotic twins identifies spec...

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies spec...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cc50a66268ce42ca9fab4acc336374b3

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI

About this item

Full title

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI

Publisher

England: BioMed Central Ltd

Journal title

BMC genomics, 2017-11, Vol.18 (1), p.872-872, Article 872

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The therapeutic management of obesity is challenging, hence further elucidating the underlying mechanisms of obesity development and identifying new diagnostic biomarkers and therapeutic targets are urgent and necessary. Here, we performed differential gene expression analysis and weighted gene co-expression network analysis (WGCNA) to identify sig...

Alternative Titles

Full title

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cc50a66268ce42ca9fab4acc336374b3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cc50a66268ce42ca9fab4acc336374b3

Other Identifiers

ISSN

1471-2164

E-ISSN

1471-2164

DOI

10.1186/s12864-017-4257-6

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