Author

Naomi R. Wray

Primary ORCID profile (0000-0001-7421-3357 · 98 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Naomi R. WrayiD98 papers · The University of Queensland

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Andreas E. Lundberg· 1 shared Denis C. Bauer· 1 shared Dhanisha J. Jhaveri· 1 shared Gregory J. Robinson· 1 shared Janette EdsoniD· 1 shared Perry F. Bartlett· 1 shared Qiong-Yi Zhao· 1 shared Qiongyi ZhaoiD· 1 shared

Activity by Year

2014-2016 · peak 1/yr

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10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Andreas E. Lundberg

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 16, 2016

DEAR-O: Differential Expression Analysis based on RNA-seq data - Online

Zong-Hong Zhang, Naomi R. Wray, Qiong-Yi Zhao

DEAR-O evaluates differential expression analysis tools for RNA-seq data by providing a platform to compare tool performance across versions and replicates.

DOI 10.1101/069807

bulk RNA-seqbenchmark study

𝕏 PostBluesky

BioinformaticsbioRxivMay 28, 2014

A comparative study of techniques for differential expression analysis on RNA-Seq data

Zong Hong Zhang, Dhanisha J. Jhaveri, Vikki M. Marshall…·Qiongyi Zhao

This study compares three differential expression analysis tools for RNA-Seq data, finding edgeR slightly outperforms others in true positives but may introduce more false positives.

DOI 10.1371/journal.pone.0103207

bulk RNA-seqstatistical model

𝕏 PostBluesky