Accurate and fast cell marker gene identification with COSG
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., (2021).
The documentation for COSG is available here.
The COSG tutorial provides a quick-start guide for using COSG and demonstrates the superior performance of COSG as compared with other methods, and the Jupyter notebook is also available.
For questions about the code and tutorial, please contact Min Dai, email@example.com.
If COSG is useful for your research, please consider citing Dai et al., (2021).
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.