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DC3
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DC3

DC3 (De-Convolution and Coupled-Clustering) is a tool for the joint analysis of bulk and single-cell RNA-seq (scRNA-seq) originating from the same heterogeneous cell population. The DC3 algorithm can identify subpopulations, cluster cells, and de-convolve the bulk data.



DC3

DC3 (De-Convolution and Coupled-Clustering) is a tool for the joint analysis of bulk and single-cell RNA-seq (scRNA-seq) originating from the same heterogeneous cell population. The DC3 algorithm can identify subpopulations, cluster cells, and de-convolve the bulk data.

Topic

RNA-seq

Details

  • Operation: RNA-Seq analysis
  • Software interface: Command-line user interface
  • Language: Python
  • Operating system: Linux
  • License: Not stated
    • Cost: Free
  • Version name: -
  • Credit: The Nationa Institutes of Health (NIH), VA Palo Alto Health Care System, the Strategic Priority Research Program of the Chinese Academy of Sciences, National Key Research and Development Program of China, the National Natural Science Foundation of China, the Tsinghua-Fuzhou Institute for Data Technology, the Institute for Data Science of Tsinghua University.
  • Contact: zengww14 _at_ mails.tsinghua.edu.cn | zduren _at_ stanford.edu | ruijiang _at_ tsinghua.edu.cn | whwong _at_ stanford.edu | ruijiang _at_ tsinghua.edu.cn
  • Collection: -

Publications

Zeng W, Chen X, Duren Z, Wang Y, Jiang R, Wong WH "DC3 Is a Method for Deconvolution and Coupled Clustering From Bulk and Single-Cell Genomics Data" Nat Commun. 2019 Oct 10;10(1):4613. https://doi.org/10.1038/s41467-019-12547-1
PMID: 31601804
PMCID: PMC6787340


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