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1. Calibration and Normalization
                        1. Calibration and Normalization
aroma.light-package     Package aroma.light
averageQuantile         Gets the average empirical distribution
backtransformAffine     Reverse affine transformation
backtransformPrincipalCurve
                        Reverse transformation of principal-curve fit
calibrateMultiscan      Weighted affine calibration of a multiple
                        re-scanned channel
callNaiveGenotypes      Calls genotypes in a normal sample
distanceBetweenLines    Finds the shortest distance between two lines
fitIWPCA                Robust fit of linear subspace through
                        multidimensional data
fitNaiveGenotypes       Fit naive genotype model from a normal sample
fitPrincipalCurve       Fit a principal curve in K dimensions
fitXYCurve              Fitting a smooth curve through paired (x,y)
                        data
iwpca                   Fits an R-dimensional hyperplane using
                        iterative re-weighted PCA
medianPolish            Median polish
normalizeAffine         Weighted affine normalization between channels
                        and arrays
normalizeAverage        Rescales channel vectors to get the same
                        average
normalizeCurveFit       Weighted curve-fit normalization between a pair
                        of channels
normalizeDifferencesToAverage
                        Rescales channel vectors to get the same
                        average
normalizeFragmentLength
                        Normalizes signals for PCR fragment-length
                        effects
normalizeQuantileRank   Normalizes the empirical distribution of one of
                        more samples to a target distribution
normalizeQuantileRank.matrix
                        Normalizes the empirical distribution of a set
                        of samples to a common target distribution
normalizeQuantileSpline
                        Normalizes the empirical distribution of one or
                        more samples to a target distribution
normalizeTumorBoost     Normalizes allele B fractions for a tumor given
                        a match normal
pairedAlleleSpecificCopyNumbers
                        Calculating tumor-normal paired allele-specific
                        copy number stratified on genotypes
plotDensity             Plots density distributions for a set of
                        vectors
plotMvsA                Plot log-ratios vs log-intensities
plotMvsAPairs           Plot log-ratios/log-intensities for all unique
                        pairs of data vectors
plotMvsMPairs           Plot log-ratios vs log-ratios for all pairs of
                        columns
plotXYCurve             Plot the relationship between two variables as
                        a smooth curve
robustSmoothSpline      Robust fit of a Smoothing Spline
sampleCorrelations      Calculates the correlation for random pairs of
                        observations
sampleTuples            Sample tuples of elements from a set
wpca                    Light-weight Weighted Principal Component
                        Analysis