Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
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Deep probabilistic analysis of single-cell and spatial omics data
Fast, sensitive and accurate integration of single-cell data with Harmony
A tool for semi-automatic cell type classification
Reference mapping for single-cell genomics
scPerturb: A resource and a python/R tool for single-cell perturbation data
Autonomous multi-agent framework to optimize scientific software
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.