Patent search ap:("THE BOARD OF REGENTS OF THE UNIVERSITY OF OKLAHOMA") AND inv:"Adrien F. BADRE" Page 1

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发明申请
METHODS OF PREDICTING PHENOME-WIDE POLYGENIC RISK SCORES USING MULTI-TASK LEARNING 有权

公开(公告)号：US20240379240A1

公开(公告)日：2024-11-14

申请号：US18631773

申请日：2024-04-10

Applicant: THE BOARD OF REGENTS OF THE UNIVERSITY OF OKLAHOMA

Inventor： Chongle PAN , Adrien F. BADRE

IPC: G16H50/30 , G06N3/08

Abstract: Provided herein are methods of using multi-task learning (MTL) neural network architecture for predicting many disease traits of an individual from their whole genome. The model used a shared latent genomic representation, and each trait was predicted from the shared representation via a task-specific hidden layer. The MTL models achieved higher predictive performance than single-task learning (STL) models for both cancer and non-cancer diseases.

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