Mean-median correlation

Mean-median correlation is computed for each spot in an array by dividing the smaller of the mean or median of the signal intensities by the larger. High quality spots should show a high value, according to [3]. Hence you can give less weight to spots with low values. The mean-median correlation is easy to compute, but in order to detect outliers, it must be combined with a saturation filter. Doughnut shapes are also difficult to detect using mean-median correlation.



Bjørn Kåre Alsberg 2006-04-06