Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis

Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis

Delayed cancer detection is one of the common causes of poor prognosis in the case of many cancers, including cancers of the oral cavity. Despite the improvement and development of new and efficient gene therapy treatments, very little has been carried out to algorithmically assess the impedance of...

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Bibliographic Details
Main Authors: Tanvi Singh, Girik Malik, Saloni Someshwar, Hien Thi Thu Le, Rathnagiri Polavarapu, Laxmi N. Chavali, Nidheesh Melethadathil, Vijayaraghava Seshadri Sundararajan, Jayaraman Valadi, P. B. Kavi Kishor, Prashanth Suravajhala
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Genes
Subjects:
oral cancer
machine learning
gene prioritization
genomic datasets
data mining
Online Access:https://www.mdpi.com/2073-4425/13/12/2379

Internet

https://www.mdpi.com/2073-4425/13/12/2379

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