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Robust Statistical Inference for Cell Type Deconvolution

Cell type deconvolution is a computational approach to infer proportions of individual cell types from bulk transcriptomics data. Though many new methods have been developed for cell type deconvolution, most of them only provide point estimation of …

Model-based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior

Trajectory inference methods analyze thousands of cells from single-cell sequencing technologies and computationally infer their developmental trajectories. Though many tools have been developed for trajectory inference, most of them lack a coherent …