Zdiff - statistical measure of difference between two
samples (eg. HP-X and HP-Y) when using the Zscore or Zscore of logs of
the data normalizations. If samples x,y have Zscore values for
gene c in samples HP-X and HP-Y, or HP-X 'sets' and HP-Y 'sets',
then the Zdiff is computed as:
Zdiff(x,y,c) = Zscore(x,c) - Zscore(y,c)
Zscore - HP data normalization scaling method to set the
mean value to 0.0 and the maximum and minimum values of the scaled
values to about +3.0 to -3.0 (standard deviations). It only makes
sense if the data is roughly a gaussian distribution. If it is not,
you could use the Zscore of the logs of the data to make it more
gaussian. If c is a gene in hybridized sample p with
meanp and stdDevp, then it is computed as:
Zscore(p,c) = (c - meanp)/stdDevp