Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: RefCell: multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’

Fig. 3

Identifying hits from the percentage of cells classified as healthy-like. A visual representation of the entire screen (320 siRNA samples, 12 GFP-progerin repressed control samples, and 12 GFP-progerin expressed control samples). Each dot represents a sample (green: GFP-progerin repressed control, red: GFP-progerin expressing control, blue: siRNA samples), with the vertical axis showing the average percentage and the error bar showing the standard deviation of healthy-like cells computed from the 4 independent replicates. False positive rate (FPR) for each siRNA is estimated from this standard deviation. The red horizontal line marks the upper boundary for GFP-progerin expressing control samples used to identify hits (5 standard deviations from the mean of all GFP-progerin expressing controls). Only siRNAs above this line, with FPR < 0.05, are considered as hits. The green dashed horizontal line marks the lower boundary for GFP-progerin repressed control samples (5 standard deviations from the mean of all GFP-progerin repressed controls)

Back to article page