Mining correlations of human gene expression from digital gene expression profiles

Jorng Tzong Horng, Hsien Da Huang, Kuo Yen Tseng, Tsung Shan Tsou, Baw Jhiune Liu, Cheng Yan Kao

Research output: Contribution to journalArticlepeer-review


The study addressed here aimed to analyze a large number of human genome transcripts from diverse tissues and to discover genes that with similar expression profiles in different human tissues. These genes may be of potential biological or pharmaceutical relevance. We propose an approach to discover the correlations of tissue gene expression by analyzing digital gene expression profiles of different human tissues. A simple statistical test was used to correlate genes having similar expression profiles. We used the information of tissue gene expression to discover the correlations of expressed genes. The correlations of gene expression revealed that such genes were specifically expressed in particular tissues with similar expression profiles and could be used to identify the relationships of the genes that be co-regulated, involved in the same biochemical pathway and signal transduction process.

Original languageEnglish
Pages (from-to)909-921
Number of pages13
JournalJournal of Information Science and Engineering
Issue number6
StatePublished - Nov 2003


  • Data mining
  • EST
  • Gene expression
  • SAGE
  • UniGene


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