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Gene trajectory inference for single-cell data by optimal transport metrics - Nature Biotechnology

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Gene trajectory inference for single-cell data by optimal transport metrics - Nature Biotechnology

Single-cell RNA sequencing has been widely used to investigate cell state transitions and gene dynamics of biological processes. Current strategies to infer the sequential dynamics of genes in a process typically rely on constructing cell pseudotime through cell trajectory inference. However, the presence of concurrent gene processes in the same group of cells and technical noise can obscure the true progression of the processes studied.

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Gene trajectory inference for single-cell data by optimal transport metrics - Nature Biotechnology

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Gene trajectory inference for single-cell data by optimal transport metrics - Nature Biotechnology

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