Skip to main content
Fig. 2 | BMC Bioinformatics

Fig. 2

From: Distribution Analyzer, a methodology for identifying and clustering outlier conditions from single-cell distributions, and its application to a Nanog reporter RNAi screen

Fig. 2

Applying the distribution-based methodology to Nanog siRNA screening data. a The first 4 PCs (right singular vectors) from the application of the methodology using the Hellinger distance metric to the screen data, noted as PC1, PC2, PC3 and PC4. The fluorescence distribution of each condition (well) is approximately the square of a linear combination of these PCs. b Cumulative square root residual sum of squares plot for first 10 PCs. Nearly all the screen information is captured using few PCs. c Plot of the PC1 values across the genome-wide screen. Conditions with |Z-score| >2 in PC1 that differ strongly from the overall distribution are shown in blue. siGFP is shown in green, siSox2 in yellow and siNlk in red. All other conditions are shown in black. d Histogram of Hellinger distance of all probability distributions to the mean probability distribution over all screen sites

Back to article page