title: Weighted gene coexpression network analysis: state of the art.
authors.affiliation: Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA. wei.zhao@stjude.org
authors.forename: Wei
authors.initials: W
authors.lastname: Zhao
authors.forename: Peter
authors.initials: P
authors.lastname: Langfelder
authors.forename: Tova
authors.initials: T
authors.lastname: Fuller
authors.forename: Jun
authors.initials: J
authors.lastname: Dong
authors.forename: Ai
authors.initials: A
authors.lastname: Li
authors.forename: Steve
authors.initials: S
authors.lastname: Hovarth
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D001921:Brain / Q000378:metabolism; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D002679:Pan troglodytes; D025941:Protein Interaction Mapping / Q000706:statistics & numerical data*; D012333:RNA, Messenger / Q000378:metabolism; D013045:Species Specificity
chemical_list: D012333:RNA, Messenger