COSG: COSine similarity-based marker Gene identification#
COSG is a cosine similarity-based method for more accurate and scalable marker gene identification.
COSG is a general method for cell marker gene identification across different data modalities, e.g., scRNA-seq, scATAC-seq and spatially resolved transcriptome data.
Marker genes or genomic regions identified by COSG are more indicative and with greater cell-type specificity.
COSG is ultrafast for large-scale datasets, and is capable of identifying marker genes for one million cells in less than two minutes.
The method and benchmarking results are described in Dai et al., (2022). Additionally, the R version of COSG is available here.
Note: we have recently released our python toolkit, PIASO, in which some methods were built upon COSG, please try out PIASO, thank you!