Dataset Open Access
Benchmarking computational doublet-detection methods for single-cell RNA sequencing data
Nan Miles Xi; Jingyi Jessica Li
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.
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.
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.
| Name | Size | |
|---|---|---|
|
real_datasets.zip
md5:cf49f0fe3750e1dd057a10686124fd5a |
751.9 MB | Download |
|
simulation_datasets.zip
md5:2ab5223862d12b38b0ddab1fa67d0e06 |
2.7 GB | Download |
| All versions | This version | |
|---|---|---|
| Views | 1,474 | 728 |
| Downloads | 482 | 209 |
| Data volume | 529.9 GB | 320.7 GB |
| Unique views | 1,162 | 648 |
| Unique downloads | 329 | 139 |
- Publication date:
- October 1, 2020
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International