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SUPREME: multiomics data integration using graph convolutional networks
Article states that, to pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. On breast cancer subtyping, unlike existing tools, SUPREME generates patient embeddings from multiple similarity networks utilizing multiomics features and integrates them with raw features to capture complementary signals.
Date:
June 28, 2023
Creator:
Kesimoglu, Ziynet Nesibe & Bozdag, Serdar
System:
The UNT Digital Library