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Single-cell RNA sequencing (scRNA-seq) data allows us to quantify the biological heterogeneity in developmental processes at a fine-grained level. Despite recent advances in inferring cellular dynamics from the underlying developmental process, existing computational trajectory inference (TI) methods face several critical ...
Read More »Inference of cell state transitions and cell fate plasticity from single-cell with MARGARET
