scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data.

Published in: BMC bioinformatics (2022)

scAnnotatR is freely available on GitHub ( https://github.com/grisslab/scAnnotatR ) and through Bioconductor (from version 3.14). It is consistently among the best performing tools in terms of classification accuracy while scaling to the largest datasets.

Keyphrases

single cell
rna seq
high throughput
machine learning
deep learning
electronic health record
psychometric properties
stem cells