Modeling intercellular communication in tissues using spatial graphs of cells

David S. Fischer, Anna C. Schaar, Fabian J. Theis

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

Models of intercellular communication in tissues are based on molecular profiles of dissociated cells, are limited to receptor–ligand signaling and ignore spatial proximity in situ. We present node-centric expression modeling, a method based on graph neural networks that estimates the effects of niche composition on gene expression in an unbiased manner from spatial molecular profiling data. We recover signatures of molecular processes known to underlie cell communication.

Original languageEnglish
Pages (from-to)332-336
Number of pages5
JournalNature Biotechnology
Volume41
Issue number3
DOIs
StatePublished - Mar 2023

Fingerprint

Dive into the research topics of 'Modeling intercellular communication in tissues using spatial graphs of cells'. Together they form a unique fingerprint.

Cite this