Benchmarking computational doublet-detection methods for single-cell RNA sequencing data

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.