| 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 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.