Nan Miles Xi
Jingyi Jessica Li
2020-10-01
<p>This repository contains the real and simulation datasets used in the paper 'Benchmarking computational doublet-detection methods for single-cell RNA sequencing data'. The preprint can be found at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3646565.</p>
<p>1. real_datasets.zip: 16 real scRNA-seq datasets with experimentally annotated doublets. The name of each file corresponds to the names in the benchmark paper.</p>
<p>2. simulation_datasets.zip: simulation datasets used in the benchmark, including different experimental conditions, scalability, stability, running time, and the impact of doublet detection on clustering, DE, HVGs, and trajectory inference.</p>
<p> </p>
https://doi.org/10.5281/zenodo.4062232
oai:zenodo.org:4062232
Zenodo
https://doi.org/10.5281/zenodo.4062231
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Benchmarking computational doublet-detection methods for single-cell RNA sequencing data
info:eu-repo/semantics/other