Article

DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration

2021-03-02

Abstract excerpt

Combining multiple types of genomic, transcriptional, proteomic, and epigenetic datasets has the potential to reveal biological mechanisms across multiple scales, and may lead to more accurate models for clinical decision support. Developing efficient models that can derive clinical outcomes from high-dimensional data remains problematical; challenges include the integration of multiple types of omics data, inclus...

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Literature Corpus work: 372636b5-4a30-5eb4-a1b1-8b0f9b4e1040
DOI: 10.1101/2021.03.02.433454

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