2022
DOI: 10.20944/preprints202204.0220.v1
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Recommendations of Scrna-Seq Differential Gene Expression Analysis Based on Comprehensive Benchmarking

Abstract: To guide analysts to select the right tool and parameters in differential gene expression analysis of single-cell RNA sequencing (scRNA-seq) data, we developed a novel simulator that recapitulates the data characteristics of real scRNA-seq datasets while accounting for all the relevant sources of variation in a multi-subject, multi-condition scRNA-seq experiment: the cell-to-cell variation within a subject, the variation across subjects, the variability across cell types, the mean/variance relationship of gene… Show more

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Cited by 2 publications
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References 44 publications
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