BEEM-Static: Accurate inference of ecological interactions from cross-sectional microbiome data.

Li, Chenhao; Av-Shalom, Tamar V; Tan, Jun Wei Gerald; Kwah, Junmei Samantha; Chng, Kern Rei; Nagarajan, Niranjan

Li, Chenhao; Av-Shalom, Tamar V; Tan, Jun Wei Gerald; Kwah, Junmei Samantha; Chng, Kern Rei; Nagarajan, Niranjan.

Afiliação

Li C; Laboratory of Metagenomic Technologies and Microbial Systems, Genome Institute of Singapore, Singapore, Singapore.
Av-Shalom TV; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Tan JWG; Laboratory of Metagenomic Technologies and Microbial Systems, Genome Institute of Singapore, Singapore, Singapore.
Kwah JS; Department of Cell & Systems Biology, University of Toronto, Toronto, Canada.
Chng KR; Laboratory of Metagenomic Technologies and Microbial Systems, Genome Institute of Singapore, Singapore, Singapore.
Nagarajan N; Laboratory of Metagenomic Technologies and Microbial Systems, Genome Institute of Singapore, Singapore, Singapore.

PLoS Comput Biol ; 17(9): e1009343, 2021 09.

Article em En | MEDLINE | ID: mdl-34495960

RESUMO

CONCLUSION: BEEM-Static provides new opportunities for mining ecologically interpretable interactions and systems insights from the growing corpus of microbiome data.

Assuntos

Ecossistema; Microbioma Gastrointestinal; Biomassa; Estudos Transversais; Conjuntos de Dados como Assunto; Humanos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Microbioma Gastrointestinal Tipo de estudo: Observational_studies / Prevalence_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Singapura

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