Pseudotime analysis is a computational method used to infer the progression of biological processes by ordering single-cell transcriptomic data along a continuous timeline, even when the actual temporal data is not available. This technique allows researchers to visualize and understand dynamic cellular behaviors and differentiation pathways, particularly in heterogeneous populations. By arranging cells based on their gene expression profiles, pseudotime analysis provides insights into the transitions and stages of cellular development.
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