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Adaptation of Graph Convolutional Neural Networks and Graph Layer-wise Relevance Propagation to the Spektral library with application to gene expression data of Colorectal Cancer patients

2023-01-27

Abstract excerpt

<h4>Motivation</h4> Colorectal Cancer has the second-highest mortality rate worldwide, which requires advanced diagnostics and individualized therapies to be developed. Information about the interactions between molecular entities provides valuable information to detect the responsible genes driving cancer progression. Graph Convolutional Neural Networks are able to utilize the prior knowledge provided by interac...

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Literature Corpus work
64317ec4-7c34-5c37-b94a-e181b7bd338f
DOI
10.1101/2023.01.26.525010
Open publication

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Adaptation of Graph Convolutional Neural Networks and Graph Layer-wise Relevance Propagation to the Spektral library with application to gene expression data of Colorectal Cancer patientsDOI 10.1101/2023.01.26.525010
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