Benchmarking computational doublet-detection methods for single-cell RNA sequencing data
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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.
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Zenodo创建时间：
2020-10-01
