For better experience, turn on JavaScript!


scNBMF

scNBMF

scNBMF (single-cell negative binomial matrix factorization) is a tool factorize matrices to detect cell types in single-cell RNA-seq (scRNA-seq) data. The scNBMF algorithm uses TensorFlow framework.

Topic

Gene expression; RNA-seq

Details

  • Operation: Classification
  • Software interface: Command-line user interface
  • Language: Python, R
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: Not stated
  • Cost: Free
  • Version name: -
  • Credit: Top International University Visiting Program for Outstanding Young scholars of Northwestern Polytechnical University, Fundamental Research Funds for the Central Universities, Natural Science Foundation of China.
  • Contact: Shiquan Sun sqsun _at_ nwpu.edu.cn | Yabo Chen chenyabo _at_ mail.nwpu.edu.cn | Xuequn Shang shang _at_ nwpu.edu.cn
  • Collection: -

Publications

Sun S, Chen Y, Liu Y, Shang X "A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data." BMC Syst Biol. 2019 Apr 5;13(Suppl 2):28. https://doi.org/10.1186/s12918-019-0699-6
PMID: 30953530
PMCID: PMC6449882


Download and documentation








If you find errors, please report here.