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DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data.
Park, Cameron; Mani, Shouvik; Beltran-Velez, Nicolas; Maurer, Katie; Gohil, Satyen; Li, Shuqiang; Huang, Teddy; Knowles, David A; Wu, Catherine J; Azizi, Elham.
Afiliação
  • Park C; Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
  • Mani S; Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA.
  • Beltran-Velez N; these authors contributed equally.
  • Maurer K; Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA.
  • Gohil S; Department of Computer Science, Columbia University, New York, NY 10027, USA.
  • Li S; these authors contributed equally.
  • Huang T; Department of Computer Science, Columbia University, New York, NY 10027, USA.
  • Knowles DA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Wu CJ; Harvard Medical School, Boston, MA, USA.
  • Azizi E; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
bioRxiv ; 2023 Nov 16.
Article em En | MEDLINE | ID: mdl-38014338

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article