Identifying phenotype-associated subpopulations through LP_SGL.

Li, Juntao; Zhang, Hongmei; Mu, Bingyu; Zuo, Hongliang; Zhou, Kanglei

Li, Juntao; Zhang, Hongmei; Mu, Bingyu; Zuo, Hongliang; Zhou, Kanglei.

Afiliação

Li J; College of Mathematics and Information Science, Henan Normal University, 46 Jianshe East Road, 453007, Xinxiang, China.
Zhang H; College of Mathematics and Information Science, Henan Normal University, 46 Jianshe East Road, 453007, Xinxiang, China.
Mu B; College of Arts and Design, Zhengzhou University of Light Industry, No. 5 Dongfeng Road, 450000, Zhengzhou, China.
Zuo H; College of Mathematics and Information Science, Henan Normal University, 46 Jianshe East Road, 453007, Xinxiang, China.
Zhou K; School of Computer Science and Engneering, Beihang University, 37 Xueyuan Road, Haidian District, 100191, Beijing, China.

Brief Bioinform ; 25(1)2023 11 22.

Article em En | MEDLINE | ID: mdl-38008419

Assuntos

Adenocarcinoma de Pulmão; Neoplasias Pulmonares; Humanos; Algoritmos; Comunicação Celular; Fenótipo; Neoplasias Pulmonares/genética

Palavras-chave

biological analysis; cell subpopulation; cellcell interaction; data integration

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Adenocarcinoma de Pulmão / Neoplasias Pulmonares Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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