Unraveling the Dysbiosis of Vaginal Microbiome to Understand Cervical Cancer Disease Etiology-An Explainable AI Approach.

Sekaran, Karthik; Varghese, Rinku Polachirakkal; Gopikrishnan, Mohanraj; Alsamman, Alsamman M; El Allali, Achraf; Zayed, Hatem; Doss C, George Priya

Sekaran, Karthik; Varghese, Rinku Polachirakkal; Gopikrishnan, Mohanraj; Alsamman, Alsamman M; El Allali, Achraf; Zayed, Hatem; Doss C, George Priya.

Afiliação

Sekaran K; School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, India.
Varghese RP; School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, India.
Gopikrishnan M; School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, India.
Alsamman AM; Molecular Genetics and Genome Mapping Laboratory, Genome Mapping Department, Agricultural Genetic Engineering Research Institute, Cairo 12619, Egypt.
El Allali A; African Genome Center, Mohammed VI Polytechnic University, Ben Guerir 43150, Morocco.
Zayed H; Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar.
Doss C GP; School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, India.

Genes (Basel) ; 14(4)2023 04 18.

Article em En | MEDLINE | ID: mdl-37107694

Assuntos

Microbiota; Neoplasias do Colo do Útero; Humanos; Feminino; Disbiose; Inteligência Artificial

Palavras-chave

SHapley Additive exPlanations; cervical cancer; eXplainable AI; vaginal microbiome

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Microbiota Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Genes (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia País de publicação: Suíça

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google