scAR documentation#
Version: 0.5.2
Useful links: Binary Installers | Source Repository | Issues | Contacts
scAR (single-cell Ambient Remover) is an explainable machine learning model designed to remove ambient signals from droplet-based single cell omics data. It is suitable for various applications such as sgRNA assignment in scCRISPR-seq, identity barcode assignment in cell multiplexing, protein denoising in CITE-seq, mRNA denoising in scRNAseq, peak count denoising in scATACseq and more.
It is developed by Oncology Data Science, Novartis Institute for BioMedical Research.
