Article

FT-Kernel: An innovative kernel for decoding cellular secrets related time

2025-03-07

Abstract excerpt

The cell fate participants characterization based on single-cell RNA sequencing (scRNA-seq) data greatly facilitates the mechanism understandings of cellular differentiation. However, inferring these fate factors dynamics along the pseudotime is challenging. Based on cell-state density and pseudotime regression weights, we present an algorithm TimeFactorKernel (FT-Kernel), to predict the key cell fate factors, not...

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Literature Corpus work: 31294660-fbf5-5fae-8d1b-6cae386704dd
DOI: 10.1101/2025.03.01.640966

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