CITE-sort – Artificial-cell-type Aware Surface Marker Clustering method for CITE-seq data

CITE-sort

:: DESCRIPTION

CITE-sort conducts auto-gating with CITE-seq ADT data using recursive Gaussian Mixture Model. It is robust against artificial cell types that stem from multiplets. CITE-sort also provides concrete explanations of its internal decision process by constructing a biologically meaningful sort tree.

::DEVELOPER

Chen Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python
:: DOWNLOAD

CITE-sort

:: MORE INFORMATION

Citation

Lian Q, Xin H, Ma J, Konnikova L, Chen W, Gu J, Chen K.
Artificial-cell-type aware cell-type classification in CITE-seq.
Bioinformatics. 2020 Jul 1;36(Suppl_1):i542-i550. doi: 10.1093/bioinformatics/btaa467. PMID: 32657383; PMCID: PMC7355304.