Using feature selection and Bayesian network identify cancer subtypes based on proteomic data.

Wang, Yangyang; Gao, Xiaoguang; Ru, Xinxin; Sun, Pengzhan; Wang, Jihan

Wang, Yangyang; Gao, Xiaoguang; Ru, Xinxin; Sun, Pengzhan; Wang, Jihan.

Afiliação

Wang Y; School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China.
Gao X; School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China. Electronic address: xggao@nwpu.edu.cn.
Ru X; School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China.
Sun P; School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China.
Wang J; Xi'an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China. Electronic address: jihanwang@nwpu.edu.cn.

J Proteomics ; 280: 104895, 2023 05 30.

Article em En | MEDLINE | ID: mdl-37024076

Assuntos

Carcinoma de Células Renais; Glioma; Neoplasias Renais; Neoplasias Pulmonares; Humanos; Proteômica/métodos; Proteoma/metabolismo; Teorema de Bayes; Biomarcadores Tumorais/metabolismo

Palavras-chave

Bayesian network (BN); Cancer subtype; Feature selection; The Cancer Proteome Atlas (TCPA)

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Glioma / Neoplasias Renais / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Proteomics Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google