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US10579661B2

System and method for machine learning and classifying data

Southern Methodist University

Abstract

The present invention relates in general to the field of parallel data processing, and more particularly to machine learning and classification of extremely large volumes of unstructured gene sequence data using Collaborative Analytics Gene Sequence Classification Learning Systems and Methods.

University
Southern Methodist University
Assignee
Southern Methodist University
Inventor
Jake Drew
Priority date
May 20, 2013
Filing date
May 20, 2014
Grant date
March 03, 2020
Publication date
March 03, 2020
Language
en
Metadata fetched
August 28, 2026 19:18