New Approach for Risk Estimation Algorithms of BRCA1/2 Negativeness Detection with Modelling Supervised Machine Learning Techniques

BRCA1/2 gene testing is a difficult, expensive, and time-consuming test which requires excessive work load. The identification of the BRCA1/2 gene mutations is significantly important in the selection of treatment and the risk of secondary cancer. We aimed to develop an algorithm considering all the...

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Bibliografske podrobnosti
izdano v:Dis Markers
Main Authors: Yazici, Hulya, Odemis, Demet Akdeniz, Aksu, Dogukan, Erdogan, Ozge Sukruoglu, Tuncer, Seref Bugra, Avsar, Mukaddes, Kilic, Seda, Turkcan, Gozde Kuru, Celik, Betul, Aydin, Muhammed Ali
Format: Artigo
Jezik:Inglês
Izdano: Hindawi 2020
Teme:
Research Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7787793/
https://ncbi.nlm.nih.gov/pubmed/33488844
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/8594090
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