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Essentiality, Protein-Protein Interactions and Evolutionary Properties are Key Predictors for Identifying Cancer-Associated Genes Using Machine Learning

2023-05-02

Abstract excerpt

<title>Abstract</title> <p>The distinctive nature of cancer as a disease prompts an exploration of the special characteristics the genes implicated in cancer exhibit. The identification of cancer-associated genes and their characteristics is crucial to further our understanding of this disease and enhanced likelihood of therapeutic drug targets success. However, the rate at which cancer genes are being identified...

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Literature Corpus work
464a9f4a-9658-5f8b-8afb-063e16b2c541
DOI
10.21203/rs.3.rs-2858983/v1
Open publication

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Essentiality, Protein-Protein Interactions and Evolutionary Properties are Key Predictors for Identifying Cancer-Associated Genes Using Machine LearningDOI 10.21203/rs.3.rs-2858983/v1
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