Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
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Updated
Oct 13, 2025 - Python
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
CellRank: dynamics from multi-view single-cell data
𝒫robabilistic modeling of RNA velocity ⬱
Dynamical systems methods for RNA velocity analysis
Inclusive and efficient quantification of labeling and splicing RNAs for time-resolved metabolic labeling based scRNA-seq experiments
Simulation based inference of differentiation trajectories from RNA velocity fields.
🧬 Analyze spatial gene expression in cancer tissues with this automated Python pipeline, uncovering insights into tumor microenvironments and biological regions.
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