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US 2023/0263473 A1Published application
Biomedical big data analysis program
AssigneeUniversity of Connecticut
InventorsBeiyan Zhou, Chuan Li
Life of this patent
Estimating the term…
Abstract
Disclosed herein is a biomedical data analysis program (“MUSTER”) that facilitates extraction of key features from big data sets and can be leveraged for different discovery-oriented goals and purposes. In particular, the disclosed biomedical data analysis program is used for mutation-survival interrogation and provides an evolutionary probability distribution for gene signature identification.
Claims17
A method of generating a feature set, based on biological signature data, used for predicting an outcome, the method comprising:
- generating a representation of a mutated species from a representation of an initial species comprising biological signature data;
- comparing a measured performance of the representation of the mutated species with a measured performance of the representation of the initial species based on associated outcome data;
- selecting one of the representation of the mutated species and the representation of the initial species based on the results of the comparing to serve as the representation of the initial species in a next iteration of the generating and comparing;
- and
- outputting a representation of a super species based on a final mutated species, the representation of the super species comprising a set of biological signature features predictive of the outcome.
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A method, comprising:
- receiving a biological data set;
- extracting an identification (ID) for each entry of the biological data set a set of IDs;
- generating an initial data set from the biological data set, wherein the initial data set is a subset of the biological data set;
- generating a mutated data set from the initial data set;
- measuring performance of the mutated data set and the initial data set;
- and
- selecting one of the mutated data set or the initial data set to create an output set based the performance of each respective data set.
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Dependencies are inferred from the claim text.