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DiSiR: fast and robust method to identify ligand-receptor interactions at subunit level from single-cell RNA-sequencing data.
Vahid, Milad R; Kurlovs, Andre H; Andreani, Tommaso; Augé, Franck; Olfati-Saber, Reza; de Rinaldis, Emanuele; Rapaport, Franck; Savova, Virginia.
Afiliação
  • Vahid MR; Sanofi R&D Data and Data Science, Artificial Intelligence & Deep Analytics, Omics Data Science, 450 Water Street, Cambridge, MA 02142, USA.
  • Kurlovs AH; Sanofi R&D, Precision Medicine and Computational Biology, 350 Water Street, Cambridge, MA 02142, USA.
  • Andreani T; Sanofi R&D Data and Data Science, Artificial Intelligence & Deep Analytics, Omics Data Science, Frankfurt am Main 65926, Germany.
  • Augé F; Sanofi R&D Data and Data Science, Artificial Intelligence & Deep Analytics, Omics Data Science, 1, Av Pierre Brossolette 91385, Chilly-Mazarin, France.
  • Olfati-Saber R; Sanofi R&D Data and Data Science, Artificial Intelligence & Deep Analytics, Omics Data Science, 450 Water Street, Cambridge, MA 02142, USA.
  • de Rinaldis E; Sanofi R&D, Precision Medicine and Computational Biology, 350 Water Street, Cambridge, MA 02142, USA.
  • Rapaport F; Sanofi R&D Data and Data Science, Artificial Intelligence & Deep Analytics, Omics Data Science, 450 Water Street, Cambridge, MA 02142, USA.
  • Savova V; Sanofi R&D, Precision Medicine and Computational Biology, 350 Water Street, Cambridge, MA 02142, USA.
NAR Genom Bioinform ; 5(1): lqad030, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36968431
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NAR Genom Bioinform Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NAR Genom Bioinform Ano de publicação: 2023 Tipo de documento: Article