发明授权
- 专利标题： Identification of co-regulation patterns by unsupervised cluster analysis of gene expression data
- 专利标题（中）： 通过基因表达数据的无监督聚类分析鉴定共调控模式
-
申请号： US13019585申请日： 2011-02-02
-
公开(公告)号： US08489531B2公开(公告)日： 2013-07-16
- 发明人: Asa Ben Hur , Andre Elisseeff , Isabelle Guyon
- 申请人： Asa Ben Hur , Andre Elisseeff , Isabelle Guyon
- 申请人地址： US GA Savannah
- 专利权人： Health Discovery Corporation
- 当前专利权人： Health Discovery Corporation
- 当前专利权人地址： US GA Savannah
- 代理机构： Procopio, Cory, Hargreaves & Savitch, LLP
- 代理商 Eleanor M. Musick
- 主分类号： G06F17/00
- IPC分类号： G06F17/00 ; G06N5/00
摘要：
A method is provided for unsupervised clustering of gene expression data to identify co-regulation patterns. A clustering algorithm randomly divides the data into k different subsets and measures the similarity between pairs of datapoints within the subsets, assigning a score to the pairs based on similarity, with the greatest similarity giving the highest correlation score. A distribution of the scores is plotted for each k. The highest value of k that has a distribution that remains concentrated near the highest correlation score corresponds to the number of co-regulation patterns.
公开/授权文献
信息查询
