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NicheNet: modeling intercellular communication by linking ligands to target genes.
Browaeys, Robin; Saelens, Wouter; Saeys, Yvan.
Afiliação
  • Browaeys R; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
  • Saelens W; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
  • Saeys Y; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
Nat Methods ; 17(2): 159-162, 2020 02.
Article em En | MEDLINE | ID: mdl-31819264
ABSTRACT
Computational methods that model how gene expression of a cell is influenced by interacting cells are lacking. We present NicheNet (https//github.com/saeyslab/nichenetr), a method that predicts ligand-target links between interacting cells by combining their expression data with prior knowledge on signaling and gene regulatory networks. We applied NicheNet to tumor and immune cell microenvironment data and demonstrate that NicheNet can infer active ligands and their gene regulatory effects on interacting cells.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comunicação Celular / Modelos Teóricos Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comunicação Celular / Modelos Teóricos Idioma: En Ano de publicação: 2020 Tipo de documento: Article