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1. scCATCH scCATCH Public

   Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

   R 234 36

2. scDeepSort scDeepSort Public

   Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

   Python 106 20

3. bulk2space bulk2space Public

   a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles

   Jupyter Notebook 126 23

4. SpaTalk SpaTalk Public

   Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data

   R 72 19

5. scRank scRank Public

   A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic …

   R 59 5

6. scNiche scNiche Public

   a computational framework to identify and characterize cell niches from spatial omics data at single-cell resolution

   Jupyter Notebook 42 4