发明申请
- 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协调模式
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申请号： US13019585申请日： 2011-02-02
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公开(公告)号： US20110125683A1公开(公告)日： 2011-05-26
- 发明人: Asa Ben Hur , André Elisseeff , Isabelle Guyon
- 申请人： Asa Ben Hur , André 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
- 主分类号： G06N3/12
- IPC分类号： G06N3/12
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.
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