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Benchmark for single-cell RNA-seq imputation methods

Publication

Hou, W., Ji, Z., Ji, H.* and Hicks, S.C.*, (2020). A Systematic Evaluation of Single-cell RNA-sequencing Imputation Methods. Genome Biology 21, 218 (2020), doi: 10.1186/s13059-020-02132-x. Links to: Paper, Code, Twitter.

For the community

NEWS

Since we have received many emails requesting processed data or imputed data that was used in this benchmark work (thanks for the interest!), we decided to submit the data as an ExperimentData package to Bioconductor. We appreciate your patience and will update you as soon as it is released. For now, please feel free to access the following sharing Dropbox folder to get the data used in the codes.

sharing Dropbox folder for data. It consists of three subfolders:

sharing Dropbox folder for realDE/result. It consists of three subfolders:

sharing Dropbox folder for imputed data (after processing, log2-scaled library-size-normalized). It consists of these folders:

We also received many emails from researchers who want to apply this evaluation pipeline in some projects, or introduce these analyses in courses. If you have questions about the codes location of any analyses, or want to have a copy of the processed data in this work, please email me at whou10@jhu.edu. We are more than happy to provide these. We appreicate your interest and patience.