Gene Expression Data from Mouse Immune response study, (2002)
Transform replicated arrays into (A,M) format
Evaluates LPE variance function of M for quantiles of A within and experimental condition and then interpolates it for all genes.
Evaluates LPE variance function of M for quantiles of A within and experimental condition by divinding the A in 100 intervals.
Evaluates LPE variance function of M for quantiles of A within and experimental condition. It is based on the adaptive number of intervals.
Makes the predicted variance non negative
lowess normalization of the data (based on M vs A graph)
Evaluates local pooled error significance test
Adjusted p-values for simple multiple testing procedures
Calcuates the number of genes in various intervals adaptively.
Calculating all possible permutations of a vector
Preprocessing the data (IQR normalization, thresholding, log- transformation, and lowess normalization)