Singh, T.; Malik, G.; Someshwar, S.; Le, H.T.T.; Polavarapu, R.; Chavali, L.N.; Melethadathil, N.; Sundararajan, V.S.; Valadi, J.; Kavi Kishor, P.B.; Suravajhala, P. Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis. Genes2022, 13, 2379.
Singh, T.; Malik, G.; Someshwar, S.; Le, H.T.T.; Polavarapu, R.; Chavali, L.N.; Melethadathil, N.; Sundararajan, V.S.; Valadi, J.; Kavi Kishor, P.B.; Suravajhala, P. Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis. Genes 2022, 13, 2379.
Singh, T.; Malik, G.; Someshwar, S.; Le, H.T.T.; Polavarapu, R.; Chavali, L.N.; Melethadathil, N.; Sundararajan, V.S.; Valadi, J.; Kavi Kishor, P.B.; Suravajhala, P. Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis. Genes2022, 13, 2379.
Singh, T.; Malik, G.; Someshwar, S.; Le, H.T.T.; Polavarapu, R.; Chavali, L.N.; Melethadathil, N.; Sundararajan, V.S.; Valadi, J.; Kavi Kishor, P.B.; Suravajhala, P. Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis. Genes 2022, 13, 2379.
Abstract
Delayed cancer detection is one of the common causes of poor prognosis in case of many cancers including the cancers of the oral cavity. Despite improvement and development of new and efficient gene therapy treatments, very little has been done to algorithmically assess the impedance of these carcinomas. In this work, we attempt to annotate viable attributes in oral cancer gene datasets for identification of gingivobuccal cancer (GBC). We further apply supervised and unsupervised machine learning methods to the gene datasets revealing key candidate attributes for GBC prognosis. Our work highlights the importance of automated identification of key genes responsible for GBC that could perhaps be easily replicated to other forms of oral cancer detection.
Keywords
oral cancer; machine learning; gene prioritization; genomic datasets; data mining
Subject
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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