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{"references": ["Tamim Abdelaal, Lieke Michielsen, Davy Cats, Dylan Hoogduin, Hailiang Mei, Marcel J. T. Reinders, and Ahmed Mahfouz. A comparison of automatic cell identification methods for single-cell RNA sequencing data. Genome Biology, 20(194), 2019.", "Jiarui Ding, Xian Adiconis, Sean K Simmons, Monika S Kowalczyk, Cynthia C Hession, Nemanja D Marjanovic, Travis K Hughes, Marc H Wadsworth, Tyler Burks, Lan T Nguyen, et al. Systematic comparison of single- cell and single-nucleus RNA-sequencing methods. Nature biotechnology, 38(6):737\u2013746, 2020.", "Liang Chen, Weinan Wang, Yuyao Zhai, and Minghua Deng. Deep soft K-means clustering with self-training for single-cell RNA sequence data. NAR genomics and bioinformatics, 2(2):lqaa039, 2020."]}
The benchmark datasets used to evaluate Gaussian noise augmentation-based scRNA-seq contrastive learning (GsRCL) against scRNA-seq cell-type identification tasks.
Cell-type identification, Data augmentation, scRNA-seq, Contrastive learning
Cell-type identification, Data augmentation, scRNA-seq, Contrastive learning
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