Deep probabilistic analysis of single-cell and spatial omics data
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Updated
Sep 18, 2024 - Python
Deep probabilistic analysis of single-cell and spatial omics data
muon is a multimodal omics Python framework
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
MultiModal Classifier Hierarchy (MMoCHi)
Tools for single-cell feature barcoding analysis
Awesome single-cell CITE-sequencing Pipeline
Prediction of surface protein expression from mRNA expression using a regression auto-encoder neural network.
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