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.
|License:||GPL (>= 2)|
generateData() testDATs() computeAUC() plotROC() plotPRC()
Li Juntao, Luo Huaien, Chia Kuan Hui Burton, Niranjan Nagarajan
Luo Huaien, Li Juntao,Chia Kuan Hui Burton, Shyam Prabhakar, Paul Robson, Niranjan Nagarajan, The importance of study design for detecting differentially abundant features in high-throughput experiments, under review.
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