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
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. https://doi.org/10.1038/s41598-018-34688-x
PMID: 30397240
PMCID: PMC6218547
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