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ReGeNNe: genetic pathway-based deep neural network using canonical correlation regularizer for disease prediction

1 Nov 2023

Abstract excerpt

MOTIVATION: Common human diseases result from the interplay of genes and their biologically associated pathways. Genetic pathway analyses provide more biological insight as compared to conventional gene-based analysis. In this article, we propose a framework combining genetic data into pathway structure and using an ensemble of convolutional neural networks (CNNs) along with a Canonical Correlation Regularizer...

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PMID: 37963055
DOI: 10.1093/bioinformatics/btad679

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