Biological interpretation of deep neural network for phenotype prediction based on gene expression

Biological interpretation of deep neural network for phenotype prediction based on gene expression

Abstract Background The use of predictive gene signatures to assist clinical decision is becoming more and more important. Deep learning has a huge potential in the prediction of phenotype from gene expression profiles. However, neural networks are viewed as black boxes, where accurate predictions a...

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Bibliographic Details
Main Authors: Blaise Hanczar, Farida Zehraoui, Tina Issa, Mathieu Arles
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Bioinformatics
Subjects:
Deep neural network
Biological interpretation
Phenotype prediction
Online Access:http://link.springer.com/article/10.1186/s12859-020-03836-4

Internet

http://link.springer.com/article/10.1186/s12859-020-03836-4

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