Last data update: 2014.03.03

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Results 1 - 10 of 33 found.
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ECDFPlot (Package: RUVcorr) : Plot empirical cumulative distribution function for correlations.

ECDFPlot generates empirical cumulative distribution functions (ECDF) for gene-gene correlation values.
● Data Source: BioConductor
● Keywords:
● Alias: ECDFPlot
2 images

PCAPlot (Package: RUVcorr) : Plot principle component analysis for gene expression data.

PCAPlot generates principle component plots for with the possibility to color arrays according to a known factor.
● Data Source: BioConductor
● Keywords:
● Alias: PCAPlot
1 images

RLEPlot (Package: RUVcorr) : Plots different versions of relative log expression plots

RLEPlot generates three different types of relative log expression plots for high-dimensional data.
● Data Source: BioConductor
● Keywords:
● Alias: RLEPlot
● 0 images

RUVNaiveRidge (Package: RUVcorr) : Removal of unwanted variation for gene correlations.

RUVNaiveRidge applies the ridged version of global removal of unwanted variation to simulated or real gene expression data.
● Data Source: BioConductor
● Keywords:
● Alias: RUVNaiveRidge, RUVNaiveRidge.default, RUVNaiveRidge.simulateGEdata
● 0 images

RUVcorr (Package: RUVcorr) : Removal of unwanted variation for gene-gene correlations.

RUVcorr allows to apply global removal of unwanted variation (ridged version of RUV) to real and simulated gene expression data.
● Data Source: BioConductor
● Keywords:
● Alias: RUVcorr, RUVcorr-package
● 0 images

assessQuality (Package: RUVcorr) : Quality assessment for cleaning procedures.

assessQuality allows to assess the quality of cleaning procedures in the context of correlations when the true underlying correlation structure is known.
● Data Source: BioConductor
● Keywords:
● Alias: assessQuality
● 0 images

background (Package: RUVcorr) : Randomly choose background genes.

background returns background genes for judging the quality of the cleaning. These genes are supposed to represent the majority of genes. The positive control and negative control genes should be excluded.
● Data Source: BioConductor
● Keywords:
● Alias: background
● 0 images

calculateThreshold (Package: RUVcorr) : Calculates the correlation threshold.

calculateThreshold returns the proportion of prioritised genes from a random selection for supplied threshold. Furthermore, this function also fits a loess curve to the estimated points. This allows the calculation of a threshold for priortisation of genes.
● Data Source: BioConductor
● Keywords:
● Alias: calculateThreshold
● 0 images

compareRanks (Package: RUVcorr) : Compare ranking of known reference gene pairs.

compareRanks allows to calculate the difference of the ranks of known reference gene pairs from two versions of the same data.
● Data Source: BioConductor
● Keywords:
● Alias: compareRanks
● 0 images

correlationPlot (Package: RUVcorr) : Correlation plot to compare estimated correlations with true correlations.

correlationPlot produces a correlation plot to compare true and estimated
● Data Source: BioConductor
● Keywords:
● Alias: correlationPlot
1 images