Generating epigenetic cohorts through clustering of epigenetic surprisal data based on parameters

Patent No. 8,972,406

Issued: March 3, 2015
Filed: July 31, 2012
Term Extension: 357 days

Inventors: Friedlander; Robert R. (Southbury, CT), Kraemer; James R. (Santa Fe, NM)
Assignee: International Business Machines Corporation (Armonk, NY)


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.

Reference to Related Applications

This is a continuation-in-part of copending application Ser. No. 13/537,385, filed Jun. 29, 2012, entitled "MINIMIZATION OF EPIGENETIC SURPSIAL DATA OF EPIGENETIC DATA WITHIN A TIME SERIES". The aforementioned application is hereby incorporated herein by reference.


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