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SUPREME: A cancer subtype prediction methodology integrating multiomics data using Graph Convolutional Neural Network

2022-08-05

Abstract excerpt

To pave the road towards precision medicine in cancer, patients with highly similar biology ought to be grouped into the same cancer subtypes. Utilizing high-dimensional multiomics datasets, several integrative computational approaches have been developed to uncover cancer subtypes. Recently, Graph Neural Networks (GNNs) was discovered to learn node embeddings while utilizing node features and node associations at...

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Literature Corpus work
ea468b91-a168-5da8-a8d3-3bca6271f1ba
DOI
10.1101/2022.08.03.502682
Open publication

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SUPREME: A cancer subtype prediction methodology integrating multiomics data using Graph Convolutional Neural NetworkDOI 10.1101/2022.08.03.502682
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