• 我要登录|
  • 免费注册
    |
  • 我的丁香通
    • 企业机构:
    • 成为企业机构
    • 个人用户:
    • 个人中心
  • 移动端
    移动端
丁香通 logo丁香实验_LOGO
搜实验

    大家都在搜

      大家都在搜

        0 人通过求购买到了急需的产品
        免费发布求购
        发布求购
        点赞
        收藏
        wx-share
        分享

        Integrating Multiple Types of Data to Identify MicroRNAGene Co-modules

        互联网

        514
        MicroRNAs (miRNAs) and genes work cooperatively to form the kernel part of gene regulatory system and affect many crucial biological processes. However, the detailed combinatorial roles of most miRNAs and genes in cellular processes and diseases are still unclear. The huge amount of diverse functional genomic data provides unprecedented opportunities to study the miRNA–gene co-regulations. How to integrate diverse genomic data to identify the regulatory modules of miRNAs and genes is a challenging problem in computational biology. Recently, we have proposed a mathematical data integration framework to discover the miRNA–gene regulatory co-modules. We have applied the proposed method to integrate a set of heterogeneous data sources including the expression profiles of miRNAs and genes on 385 human ovarian cancer samples as well as miRNA–gene interactions and gene–gene interactions. The revealed co-modules show significant biological relevance and potential associations with ovarian cancers and others.
        ad image
        提问
        扫一扫
        丁香实验小程序二维码
        实验小助手
        丁香实验公众号二维码
        扫码领资料
        反馈
        TOP
        打开小程序