In this section we give our recommendation on how spotted two-color (or multi-color) microarray data is best calibrated and normalized.
● Data Source:
BioConductor
● Keywords: documentation
● Alias: 1. Calibration and Normalization
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This page contains aliases for all "non-documented" objects that R CMD check detects in this package.
● Data Source:
BioConductor
● Keywords: documentation, internal
● Alias: Non-documented objects
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Methods for microarray analysis that take basic data types such as matrices and lists of vectors. These methods can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.
● Data Source:
BioConductor
● Keywords: package
● Alias: aroma.light, aroma.light-package
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averageQuantile
(Package: aroma.light) :
Gets the average empirical distribution
Gets the average empirical distribution for a set of samples.
● Data Source:
BioConductor
● Keywords: methods, multivariate, nonparametric, robust
● Alias: averageQuantile
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Reverse affine transformation.
● Data Source:
BioConductor
● Keywords: methods
● Alias: backtransformAffine
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Reverse transformation of principal-curve fit.
● Data Source:
BioConductor
● Keywords: methods
● Alias: backtransformPrincipalCurve
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calibrateMultiscan
(Package: aroma.light) :
Weighted affine calibration of a multiple re-scanned channel
Weighted affine calibration of a multiple re-scanned channel.
● Data Source:
BioConductor
● Keywords: methods
● Alias: calibrateMultiscan
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Calls genotypes in a normal sample.
● Data Source:
BioConductor
● Keywords: methods
● Alias: callNaiveGenotypes
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Finds the shortest distance between two lines.
● Data Source:
BioConductor
● Keywords: algebra
● Alias: distanceBetweenLines, distanceBetweenLines.default
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findPeaksAndValleys
(Package: aroma.light) :
Finds extreme points in the empirical density estimated from data
Finds extreme points in the empirical density estimated from data.
● Data Source:
BioConductor
● Keywords: internal, methods
● Alias: findPeaksAndValleys
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