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scMaSigPro - Differential Expression Analysis Along Single-Cell Trajectories
Identifies genes whose expression changes along single-cell pseudotime and differs between the branching paths of a trajectory. Cells are pseudo-bulked into pseudotime bins that preserve their ordering, and the polynomial generalised linear model of the 'maSigPro' package is fitted to the binned counts with a negative binomial family and size-factor offsets. Methods are described in Srivastava et al. (2024) <doi:10.1093/bioinformatics/btae443>.
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clusteringregressiontimecoursedifferentialexpressiongeneexpressionrnaseqsequencingsoftwaresinglecelltranscriptomicsmultiplecomparisonvisualizationpseudotimesingle-cell-rna-seqtime-seriestrajectory-analysis
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