What are box plots?
A box plot is a plot represents graphically several descriptive statistics of a given data set, which usually has a box including a central line and two tails. The the upper and lower boundary of the box show the location of the 75th percentile and 25th quartile respectively. The median, or central 50% of the data is drawn inside the box and the central line in the box shows the position of the median. The lines extending from the box disply the spread of the data. Replicate arrays must be similar in range or otherwise should be discarded. Box plots are provided for all of the data points in the GPRs and for each print-tip-group within individual GPRs and are drawn for the raw data and the processed (filtered and normalized) data. Box plots for individual arrays are helpful in diagnosing spatial effects and observing the impact of “Loess – Within-print-tip-group intensity dependent normalization”. Thus, box plots can be useful for visually comparing different normalization methods. Box
