Methods for training an artificial neural network to predict whether a subject will exhibit a characteristic gene expression and systems for executing the same

Provided herein are method of prediction of potential health risk, and particularly to a method for training artificial neural networks using biological analysis data. The method of present disclosure is characterized in the combined use of biological analysis and deep learning; in which the specifi...

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Hauptverfasser: WANG, JIAING, HSU, YIIUNG, SUNG, CHUNG-YANG
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creator WANG, JIAING
HSU, YIIUNG
SUNG, CHUNG-YANG
description Provided herein are method of prediction of potential health risk, and particularly to a method for training artificial neural networks using biological analysis data. The method of present disclosure is characterized in the combined use of biological analysis and deep learning; in which the specific clinical data relating to the characteristic gene expression is used to train the artificial neural network to improve the accuracy of the prediction power of the artificial neural network.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Methods for training an artificial neural network to predict whether a subject will exhibit a characteristic gene expression and systems for executing the same
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