scAR documentation

Version: 0.7.0

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.

Getting started

New to scAR? Check out the getting started guide. It contains an introduction to scAR’s main concepts.

What is scAR?

Introduction

Installation

Want to install scAR? Check out the installation guide. It contains steps to install scAR.

How to install scAR?

Installation

API reference

The API reference contains detailed descriptions of scAR API.

To the API

API

Tutorials

The tutorials walk you through the applications of scAR.

To Tutorials

Tutorials