title: BiC: a web server for calculating bimodality of coexpression between gene and protein networks.
abstract: Bimodal patterns of expression have recently been shown to be useful not only in prioritizing genes that distinguish phenotypes, but also in prioritizing network models that correlate with proteomic evidence. In particular, subgroups of strongly coexpressed gene pairs result in an increased variance of the correlation distribution. This variance, a measure of association between sets of genes (or proteins), can be summarized as the bimodality of coexpression (BiC). We developed an online tool to calculate the BiC for user-defined gene lists and associated mRNA expression data. BiC is a comprehensive application that provides researchers with the ability to analyze both publicly available and user-collected array data.
  
  
  BACKGROUND
  The freely available web service and the documentation can be accessed at http://gurkan.case.edu/software.
  
  
  BACKGROUND
  gurkan@case.edu.
authors.affiliation: Department of Biomedical Engineering, Case Center for Proteomics and Bioinformatics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
authors.forename: George C
authors.initials: GC
authors.lastname: Linderman
authors.forename: Vishal N
authors.initials: VN
authors.lastname: Patel
authors.forename: Mark R
authors.initials: MR
authors.lastname: Chance
authors.forename: Gurkan
authors.initials: G
authors.lastname: Bebek
mesh_terms: D000465:Algorithms; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods*; D053263:Gene Regulatory Networks; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis; D011506:Proteins / Q000235:genetics*; D012333:RNA, Messenger / Q000378:metabolism; D012984:Software
chemical_list: D011506:Proteins; D012333:RNA, Messenger