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TraSig workflow. Top left: For a scRNA-Seq dataset, we use the reconstructed pseudotime trajectory and the expression data as inputs. Bottom left: We next determine expression profiles for genes along each of the edges (clusters) using sliding windows and compute dot product scores for pairs of genes in edges. Right: Finally, we use permutation tests to assign significance levels to the scores we computed
