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Fig. 5 | BMC Bioinformatics

Fig. 5

From: scDC: single cell differential composition analysis

Fig. 5

scDC on synthetic dataset. scDC has been applied on two different synthetic datasets, a-c shows result on neuronal dataset and d-f shows result on pancreas dataset. a Subjects are samples taken at different developmental time point. Each time point has two or three samples, as indicated by the labels on the x-axis. Boxplot represents 100 cell proportion values obtained from performing scDC. The diamond symbol in each boxplot represents the reference cell proportion value calculated from the original dataset. b Each boxplot is drawn by taking the mean of subjects at each time point. Thus wider boxplot indicates greater subject to subject variability. c This plots the mean cell composition of each subject from the 100 cell proportion values obtained from scDC and compares across the developmental time point. A trend in proportional change of the four cell-types is visible. d Subjects are samples taken from normal subjects and type 2 diabetes subjects. e Averaging across subjects for each cell-type reveals a clear difference in beta cell proportions between normal and type two diabetes subjects. f Compared to mouse data (c), human data exhibit much greater between subject variability

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