• DocumentCode
    2038791
  • Title

    Integrative analysis of methylation and gene expression data in TCGA

  • Author

    Yihua Liu ; Peng Qiu

  • Author_Institution
    Dept. of Bioinf. & Comput. Biol., Univ. of Texas MD Anderson Cancer Center, Houston, TX, USA
  • fYear
    2012
  • fDate
    2-4 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An integrative analysis of methylation and gene expression is performed using TCGA data for 997 samples from multiple cancer types. We use conditional mutual information to examine each gene separately, identify 798 genes whose expression are repressed by their methylation, and derive gene-specific thresholds to dichotomize their methylation data. For each methylation controlled gene, we evaluate its conditional correlation with other genes, and infer which other genes are its regulators or targets. The resulting set of regulator genes is much larger than that of target genes, and the set of regulator genes is highly enriched by transcription factors.
  • Keywords
    biochemistry; biomedical engineering; cancer; genetics; TCGA data; dichotomize; gene expression data; gene-specific thresholds; integrative analysis; methylation data; multiple cancer types; transcription factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on
  • Conference_Location
    Washington, DC
  • ISSN
    2150-3001
  • Print_ISBN
    978-1-4673-5234-5
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2012.6507712
  • Filename
    6507712