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

2021-09-02

Abstract excerpt

The identification of genes that may be linked to cancer is of great importance for the discovery of new drug targets. The rate at which cancer genes are being found experimentally is slow, however, due to the complexity of the identification and confirmation process, giving a narrow range of therapeutic targets to investigate and develop. One solution to this problem is to use predictive analysis techniques that...

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Literature Corpus work
6ff5b5fe-adc2-5ac7-8784-e8942480d396
DOI
10.1101/2021.09.01.458494
Open publication

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Essentiality, Protein-Protein Interactions and Evolutionary Properties are Key Predictors for Identifying Cancer Genes Using Machine LearningDOI 10.1101/2021.09.01.458494
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