Invention Grant
- Patent Title: Generating epigenetic cohorts through clustering of epigenetic surprisal data based on parameters
- Patent Title (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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Application No.: US13563072Application Date: 2012-07-31
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Publication No.: US08972406B2Publication Date: 2015-03-03
- Inventor: Robert R. Friedlander , James R. Kraemer
- Applicant: Robert R. Friedlander , James R. Kraemer
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Brown & Michaels, PC
- Agent John R. Pivnichny
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F19/24 ; G06F19/18

Abstract:
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.
Public/Granted literature
- US20140006447A1 GENERATING EPIGENENTIC COHORTS THROUGH CLUSTERING OF EPIGENETIC SUPRISAL DATA BASED ON PARAMETERS Public/Granted day:2014-01-02
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