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.

Afiliación

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 en En | MEDLINE | ID: mdl-36401182

Asunto(s)

Exoma; Neoplasias; Humanos; Exoma/genética; Detección Precoz del Cáncer; Aprendizaje Automático; Algoritmos; Neoplasias/diagnóstico; Neoplasias/genética

Palabras clave

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

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exoma / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: India

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