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Identification of Cancer Risk Groups through Multi-Omics Integration using Autoencoder and Tensor Analysis

2023-09-13

Abstract excerpt

Identifying cancer risk groups by integrative multi-omics has attracted researchers in their quest to find biomarkers from diverse risk-related omics. Stratifying the patients into cancer risk groups using genomics is essential for clinicians for pre-prevention treatment to improve the survival time for patients and identify the appropriate therapy strategies. This study proposes an integrative multi-omics framewo...

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Literature Corpus work
5bf26261-ed9f-5933-85bc-4c525ff79453
DOI
10.1101/2023.09.12.23295458
Open publication

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Identification of Cancer Risk Groups through Multi-Omics Integration using Autoencoder and Tensor AnalysisDOI 10.1101/2023.09.12.23295458
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