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EDDA

Experimental Design in Differential Abundance analysis (EDDA) is a tool for systematic assessment of the impact of experimental design and the statistical test used on the ability to detect differential abundance.

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Version

Version

1.10.0

License

GPL (>= 2)

Maintainer

Chia Kuan Hui Burton

Last Published

February 15th, 2017

Functions in EDDA (1.10.0)

plotROC

plot Receiver Operating Characteristic curve
SingleCell

Single-cell RNA-seq data for model free simulation
Wu

Average abundance for RNA-seq data from schizophrenia.
testDATs

Run differential abundance testings
BP

BaySeq Profile used in simulations by Hardcastle et al
generateData

generate count data
plotPRC

plot precision-recall curves
EDDA-package

Experimental Design in Differential Abundance analysis
HBR

Average abundance for RNA-seq data from Human Brain Reference.
computeAUC

compute AUC values.