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. Author manuscript; available in PMC: 2023 Jun 16.
Published in final edited form as: Ann Appl Stat. 2021 Jul 12;15(2):880–901. doi: 10.1214/20-aoas1423

Fig. 8.

Fig. 8.

Genes are grouped by their pattern of differential expression across subtypes as inferred by the EBseq computation within scDDboost for three example datasets. Cumulative distribution functions of the log-scale size statistic for all genes identified by scDDboost are plotted; red is the subset uniquely identified by scDDboost; blue are those also identified by the comparison methods (MAST, scDD, or DESeq2). Sets of similarly-patterned genes tend to be larger (horizontal axis, log size) for genes uniquely identified by scDDboost (red) compared to other DD genes (blue), at 5% FDR.

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