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A deep generative model of 3D single-cell organization.
Donovan-Maiye, Rory M; Brown, Jackson M; Chan, Caleb K; Ding, Liya; Yan, Calysta; Gaudreault, Nathalie; Theriot, Julie A; Maleckar, Mary M; Knijnenburg, Theo A; Johnson, Gregory R.
Afiliación
  • Donovan-Maiye RM; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Brown JM; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Chan CK; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Ding L; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Yan C; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Gaudreault N; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Theriot JA; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Maleckar MM; Department of Biology and Howard Hughes Medical Institute, University of Washington, Seattle, Washington, United States of America.
  • Knijnenburg TA; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Johnson GR; Allen Institute for Cell Science, Seattle, Washington, United States of America.
PLoS Comput Biol ; 18(1): e1009155, 2022 01.
Article en En | MEDLINE | ID: mdl-35041651
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Núcleo Celular / Espacio Intracelular / Forma de la Célula / Células Madre Pluripotentes Inducidas / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Núcleo Celular / Espacio Intracelular / Forma de la Célula / Células Madre Pluripotentes Inducidas / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos