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Quantitative assessment of cell fate commitment in single-cell transcriptomics using scCS

2026-07-30

Abstract excerpt

Cell fate trajectory inference is one of the key downstream methods in single-cell RNA-sequencing data analysis. Multiple existing tools allow studying such and help identify continuous cell fate dynamics, important genes along the trajectory, and reconstruct the transcriptional states a cell passes to its estimated final state. These methods have been essential to study various biological systems, yet cell fate b...

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Literature Corpus work
88dc902d-08cc-5e3c-9dbb-a46b63b745fa
DOI
10.64898/2026.07.27.741070
Open publication

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