Deep learning predicts microbial interactions from self-organized spatiotemporal patterns.

Lee, Joon-Yong; Sadler, Natalie C; Egbert, Robert G; Anderton, Christopher R; Hofmockel, Kirsten S; Jansson, Janet K; Song, Hyun-Seob

Lee, Joon-Yong; Sadler, Natalie C; Egbert, Robert G; Anderton, Christopher R; Hofmockel, Kirsten S; Jansson, Janet K; Song, Hyun-Seob.

Afiliación

Lee JY; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Sadler NC; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Egbert RG; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Anderton CR; Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA.
Hofmockel KS; Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA.
Jansson JK; Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA, USA.
Song HS; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.

Comput Struct Biotechnol J ; 18: 1259-1269, 2020.

Article en En | MEDLINE | ID: mdl-32612750

Palabras clave

Agent-based modeling; Machine learning; Microscopy imaging technology; Network inference; Soil microbiomes

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Struct Biotechnol J Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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