发明申请
US20070021952A1 General graphical Gaussian modeling method and apparatus therefore 审中-公开
一般图形高斯建模方法和装置因此

  • 专利标题: General graphical Gaussian modeling method and apparatus therefore
  • 专利标题(中): 一般图形高斯建模方法和装置因此
  • 申请号: US11186277
    申请日: 2005-07-21
  • 公开(公告)号: US20070021952A1
    公开(公告)日: 2007-01-25
  • 发明人: Shigeru Saito
  • 申请人: Shigeru Saito
  • 申请人地址: JP Tokyo 101-0062
  • 专利权人: Infocom Corporation
  • 当前专利权人: Infocom Corporation
  • 当前专利权人地址: JP Tokyo 101-0062
  • 主分类号: G06G7/48
  • IPC分类号: G06G7/48 G06G7/58
General graphical Gaussian modeling method and apparatus therefore
摘要:
A graphical Gaussian modeling method capable of speedily and accurately estimating a genetic network from an expression profile and an apparatus therefore are provided. The present invention provides a graphical Gaussian modeling method for estimating a genetic network including the steps of (a) clustering genes based on an expression profile, (b) selecting genes having a profile closest to a mean value of an expression profile per cluster to be used as representative genes representing the cluster, (c) obtaining a correlation coefficient matrix among representative genes, (d) obtaining a partial correlation coefficient matrix from the correlation coefficient matrix, (e) contracting the partial correlation coefficient matrix according to predetermined conditions and (f) displaying a contracted model based on the contracted partial correlation coefficient matrix.
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