Benchmarking the Autoencoder Design for Imputing Single-Cell RNA Sequencing Data

<p>This repository contains the real and synthetic datasets used in the paper &quot;Benchmarking the Autoencoder Design for Imputing Single-Cell RNA Sequencing Data&quot;. The zip file includes three folders:</p> <p>1. overall imputation accuracy: the 12 real scRNA-seq datasets used in the evaluation of overall imputation accuracy.</p> <p>2. cell clustering: the 20 real scRNA-seq datasets with cell type labels used in the evaluation of cell clustering.</p> <p>3. DE gene: the 20 scRNA-seq syntehtic datasets with ground-truth&nbsp;DE genes&nbsp;used in the evaluation of DE gene analysis. These datasets are simulated by simulator scDesign and 20 real datasets.&nbsp;</p> <p>&nbsp;</p>