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 |
findPeaksAndValleys | Finds extreme points in the empirical density estimated from... |
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... |
likelihood.smooth.spline | Calculate the log likelihood of a smoothing spline given the... |
medianPolish | Median polish |
Non-documented_objects | Non-documented objects |
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... |
normalizeQuantileRank.matrix | Normalizes the empirical distribution of a set of samples to... |
normalizeQuantileSpline | Normalizes the empirical distribution of one or more samples... |
normalizeTumorBoost | Normalizes allele B fractions for a tumor given a match... |
pairedAlleleSpecificCopyNumbers | Calculating tumor-normal paired allele-specific copy number... |
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... |
plotMvsMPairs | Plot log-ratios vs log-ratios for all pairs of columns |
plotXYCurve | Plot the relationship between two variables as a smooth curve |
print.SmoothSplineLikelihood | Prints an SmoothSplineLikelihood object |
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 |
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