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Deep learning architecture optimization with metaheuristic algorithms for predicting BRCA1 / BRCA2 pathogenicity NGS analysis

2022-03-08

Abstract excerpt

BRCA1 and BRCA2 are genes with tumor suppressor activity, and they are involved ina considerable number of biological processes allowing the regulation of the cellreplication cycle. A mutation in one of these two genes has a significant probability ofcausing cancer. We have set up within the platform a machine learning algorithm basedon the random forest to predict pathogenicity in colorectal, melanoma, lung, and...

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Literature Corpus work
bd34b303-b8ab-542f-b53d-5b59607dc5e3
DOI
10.21203/rs.3.rs-1407523/v1
Open publication

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Deep learning architecture optimization with metaheuristic algorithms for predicting BRCA1 / BRCA2 pathogenicity NGS analysisDOI 10.21203/rs.3.rs-1407523/v1
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