R Graphical Manual

Last data update: 2014.03.03

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CranContrib
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Results 1 - 6 of 6 found.
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EDDA-package (Package: EDDA) :

EDDA aids in the design of a range of common experiments including RNA-seq, Nanostring assays, RIP-seq and Metagenomic sequencing, and enables researchers to comprehensively investigate the impact of experimental decisions on the ability to detect differential abundance.

● Data Source: BioConductor
● Keywords: package
● Alias: EDDA, EDDA-package
● 2 images

computeAUC (Package: EDDA) : compute AUC values.

compute AUC values for each test.

● Data Source: BioConductor
● Keywords: math
● Alias: computeAUC
● 0 images

generateData (Package: EDDA) : generate count data

Simulate count data using different models and settings.

● Data Source: BioConductor
● Keywords: design
● Alias: generateData
● 0 images

plotPRC (Package: EDDA) : plot precision-recall curves

plot precision-recall curves for each test.

● Data Source: BioConductor
● Keywords: dplot
● Alias: plotPRC
● 1 images

plotROC (Package: EDDA) : plot Receiver Operating Characteristic curve

plot Receiver Operating Characteristic curve for each test.

● Data Source: BioConductor
● Keywords: dplot
● Alias: plotROC
● 1 images

testDATs (Package: EDDA) : Run differential abundance testings

Perform differential abundance testing on simulated count data.

● Data Source: BioConductor
● Keywords: methods
● Alias: testDATs
● 0 images