发明名称 |
Identification of co-regulation patterns by unsupervised cluster analysis of gene expression data |
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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申请公布号 |
US8489531(B2) |
申请公布日期 |
2013.07.16 |
申请号 |
US201113019585 |
申请日期 |
2011.02.02 |
申请人 |
BEN HUR ASA;ELISSEEFF ANDRE;GUYON ISABELLE;HEALTH DISCOVERY CORPORATION |
发明人 |
BEN HUR ASA;ELISSEEFF ANDRE;GUYON ISABELLE |
分类号 |
G06F17/00;G06F19/00;G06G7/48;G06G7/58;G06K9/62;G06N5/00 |
主分类号 |
G06F17/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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