For better experience, turn on JavaScript!


EnImpute

EnImpute

EnImpute is a tool to impute dropouts in single-cell RNA-seq (scRNA-seq) data. The EnImpute algorithm uses an ensemble learning method by combining results from multiple different learning methods.

Topic

RNA-seq; Imputation

Details

  • Operation: RNA-Seq analysis; Sequencing quality control; Visualisation
  • Software interface: Command-line user interface
  • Language: R, Shiny
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: GNU General Public License v>=2
  • Cost: Free
  • Version name: 1.1
  • Credit: The National Natural Science Foundation of China, Natural Science Foundation of Hubei province, CCNU; colleges basic research and operation of MOE, Shenzhen Research and Development program, Natural ScienceFoundation of SZU, Natural Science Foundation of Shanghai and Hong Kong Research Grants Council.
  • Contact: leouyang _at_ szu.edu.cn
  • Collection: -

Publications

Zhang XF, Ou-Yang L, Yang S, Zhao XM, Hu X, Yan H "EnImpute: imputing dropout events in single cell RNA sequencing data via ensemble learning." Bioinformatics. 2019 May 24. pii: 5498284. https://doi.org/10.1093/bioinformatics/btz435
PMID: 31125056


Download and documentation








If you find errors, please report here.