发明授权
- 专利标题: Generating epigenetic cohorts through clustering of epigenetic surprisal data based on parameters
- 专利标题(中): 通过基于参数的表观遗传数据的聚类生成表观遗传组
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申请号: US13563072申请日: 2012-07-31
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公开(公告)号: US08972406B2公开(公告)日: 2015-03-03
- 发明人: Robert R. Friedlander , James R. Kraemer
- 申请人: Robert R. Friedlander , James R. Kraemer
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Brown & Michaels, PC
- 代理商 John R. Pivnichny
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06F19/24 ; G06F19/18
摘要:
A method, computer program product, and system generating epigenetic cohorts for a specific time period through clustering of epigenetic surprisal data at a specific time comprising. receiving a phenotypic and/or demographic parameter and a cluster characteristics input from a user; searching the epigenetic surprisal data at a specific time for the parameter and storing matches in a repository; generating a cluster comprising a centroid for each parameter by populating the cluster based on the matches of the parameter with the epigenetic surprisal data at a specific time period; determining at least two epigenetic cohorts for a specific time period from the cluster for each parameter and based on the input from the user; and if the cohorts do not match the input of the user, reporting the cohorts determined to the user and returning to the step of receiving a parameter and characteristic input from a user.
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