LRBmat: A novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer.

Tang, Shan; Mao, Shanjun; Chen, Yangyang; Tan, Falong; Duan, Lihua; Pian, Cong; Zeng, Xiangxiang

Tang, Shan; Mao, Shanjun; Chen, Yangyang; Tan, Falong; Duan, Lihua; Pian, Cong; Zeng, Xiangxiang.

Afiliação

Tang S; Department of Statistics, Hunan University, Changsha 410006, China.
Mao S; Department of Statistics, Hunan University, Changsha 410006, China. Electronic address: shjmao@hnu.edu.cn.
Chen Y; Department of Computer Science, University of Tsukuba, Tsukuba 3058577, Japan.
Tan F; Department of Statistics, Hunan University, Changsha 410006, China.
Duan L; Department of Rheumatology and Clinical Immunology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Pian C; College of Sciences, Nanjing Agricultural University, Nanjing 210095, China.
Zeng X; Department of Computer Science, Hunan University, Changsha 410086, China.

J Theor Biol ; 571: 111538, 2023 08 21.

Article em En | MEDLINE | ID: mdl-37257720

Assuntos

Neoplasias Colorretais; Microbioma Gastrointestinal; Microbiota; Humanos; Interações Microbianas

Palavras-chave

Association rule mining; Biomedical classification; Colorectal cancer; Gut microbial interactions; Gut microbiota; Individual heterogeneity

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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Colon_e_reto Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Microbiota / Microbioma Gastrointestinal Limite: Humans Idioma: En Revista: J Theor Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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