MV-CVIB: <b>a</b> microbiome-based multi-view convolutional variational information bottleneck for predicting metastatic colorectal cancer.

Cui, Zhen; Wu, Yan; Zhang, Qin-Hu; Wang, Si-Guo; He, Ying; Huang, De-Shuang

MV-CVIB: a microbiome-based multi-view convolutional variational information bottleneck for predicting metastatic colorectal cancer.

Cui, Zhen; Wu, Yan; Zhang, Qin-Hu; Wang, Si-Guo; He, Ying; Huang, De-Shuang.

Afiliación

Cui Z; Institute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Shanghai, China.
Wu Y; College of Electronics and Information Engineering, Tongji University, Shanghai, China.
Zhang QH; EIT Institute for Advanced Study, Ningbo, Zhejiang, China.
Wang SG; Institute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Shanghai, China.
He Y; Institute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Shanghai, China.
Huang DS; EIT Institute for Advanced Study, Ningbo, Zhejiang, China.

Front Microbiol ; 14: 1238199, 2023.

Article en En | MEDLINE | ID: mdl-37675425

Palabras clave

information bottleneck; metastatic colorectal cancer; microbiome; multi-view; risk assessment

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Microbiol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google