Incorporating heterogeneous biological data sources in clustering gene expression data

HIGHLIGHTS

• who: Gang-Guo Li and Zheng-Zhi Wang from the Institute of Automation, National University of Defense Technology, Changsha, Hunan, China have published the research work: Incorporating heterogeneous biological data sources in clustering gene expression data, in the Journal: (JOURNAL)
• what: In this paper a similarity measure between genes with protein-protein interactions is proposed. The authors propose a general framework to combine the gene_expression data with heterogeneous genomic knowledge resources to enhance biological relevance of clustering gene_expression data. The authors propose to combine gene_expression data with protein-protein interaction data and chip-chip data . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.