BioinformaticsGenome BiologyPeer-reviewed
The importance of study design for detecting differentially abundant features in high-throughput experiments
Huaien Luo, Juntao Li, Kuan Hui Burton Chia…·Niranjan Nagarajan
This paper introduces EDDA, a tool for designing high-throughput experiments to detect differentially abundant features, showing it improves precision and reduces resource use in single-cell RNA-seq, Nanostring, and Metagenomics studies.
DOI 10.1186/s13059-014-0527-7