Fischer DS, Schaar AC, Theis FJ (2022)
Publication Type: Journal article
Publication year: 2022
DOI: 10.1038/s41587-022-01467-z
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.
APA:
Fischer, D.S., Schaar, A.C., & Theis, F.J. (2022). Modeling intercellular communication in tissues using spatial graphs of cells. Nature Biotechnology. https://doi.org/10.1038/s41587-022-01467-z
MLA:
Fischer, David S., Anna C. Schaar, and Fabian J. Theis. "Modeling intercellular communication in tissues using spatial graphs of cells." Nature Biotechnology (2022).
BibTeX: Download