Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks is a research paper published in BMC Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.
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National Institutes of Health
Grant: 1R01GM138834-01
Computational Models of the Human Cell Cycle to Reveal Disease Mechanism and Inform Treatment
National Science Foundation
Grant: 2242980
Toward a revised model of the cell cycle that captures reversible and irreversible arrest
National Science Foundation
Grant: 1845796
CAREER: Predicting cell fate from cell history: theory, experiment, and outreach
Fields of Study
Keywords
Sustainable Development Goals