Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers.

Pasha Syed, Abdu Rehaman; Anbalagan, Rahul; Setlur, Anagha S; Karunakaran, Chandrashekar; Shetty, Jyoti; Kumar, Jitendra; Niranjan, Vidya

Pasha Syed, Abdu Rehaman; Anbalagan, Rahul; Setlur, Anagha S; Karunakaran, Chandrashekar; Shetty, Jyoti; Kumar, Jitendra; Niranjan, Vidya.

Afiliação

Pasha Syed AR; Department of Information Science and Engineering, RV College of Engineering, Bangalore, 560059, India.
Anbalagan R; Department of Computer Science and Engineering, RV College of Engineering, Bangalore, 560059, India.
Setlur AS; Department of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Karunakaran C; Department of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Shetty J; Department of Computer Science and Engineering, RV College of Engineering, Bangalore, 560059, India.
Kumar J; Bangalore Bio-Innovation Centre (BBC), Helix Biotech Park, Electronic City, Phase-I, Bangalore, 560100, India. director@bioinnovationcentre.com.
Niranjan V; Department of Biotechnology, RV College of Engineering, Bangalore, 560059, India. vidya.n@rvce.edu.in.

BMC Bioinformatics ; 23(1): 496, 2022 Nov 18.

Article em En | MEDLINE | ID: mdl-36401182

Assuntos

Exoma; Neoplasias; Humanos; Exoma/genética; Detecção Precoce de Câncer; Aprendizado de Máquina; Algoritmos; Neoplasias/diagnóstico; Neoplasias/genética

Palavras-chave

Cancer; Ensemble machine learning; Exploratory data analysis; GAN; SMOTE; TVAE

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exoma / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Índia

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