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AutoImpute is an R tool for genotype imputation. The AutoImpute algorithm avoids dropouts by autoencoder-based sparse gene expression matrix imputation method and learning a distribution of sing-cell expression data distributions. Requires: Python 2.7, numpy, scikit-learn, TensorFlow, and matplotlib.


Population genetics


  • Operation: Imputation
  • Software interface: Command-line user interface; Library
  • Language: Python;R
  • Operating system: Microsoft Windows, Mac OS X, Linux
  • License: The MIT License
  • Cost: Free
  • Version name: -
  • Maturity: Stable
  • Credit: -
  • Contact: Debarka Sengupta debarka _at_
  • Collection: -


Talwar D, Mongia A, Sengupta D, Majumdar A "AutoImpute: Autoencoder based imputation of single-cell RNA-seq data." Sci Rep. 2018 Nov 5;8(1):16329.
PMID: 30397240
PMCID: PMC6218547

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