Author

Kuan Hui Burton Chia

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Bioinformatics· 1

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Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:metagenomics· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Huaien Luo· 1 shared Juntao Li· 1 shared Niranjan Nagarajan· 1 shared Paul Robson· 1 shared

Activity by Year

2014-2014 · peak 1/yr

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1 shared paperBioinformatics

Huaien Luo

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1 paper

Recent·Most cited

BioinformaticsGenome BiologyPeer-reviewedDec 3, 2014

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

bulk RNA-seqmetagenomics

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