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20132016
most citedRobust hyperparameter estimation protects against hypervariable genes and improves power to detect differential expression

1k citations · 1.2k across the 3 of their papers we have counts for

collaborators

5 papers

stat.CO2016★ 11 cited

statmod: Probability Calculations for the Inverse Gaussian Distribution

Göknur Giner, Gordon K. Smyth

The inverse Gaussian distribution (IGD) is a well known and often used probability distribution for which fully reliable numerical algorithms have not been available. Our aim in th…

stat.AP2016★ 1k cited

Robust hyperparameter estimation protects against hypervariable genes and improves power to detect differential expression

Belinda Phipson, Stanley Lee, Ian J. Majewski +2

One of the most common analysis tasks in genomic research is to identify genes that are differentially expressed (DE) between experimental conditions. Empirical Bayes (EB) statisti…

q-bio.GN2014★ 139 cited

Assessing Technical Performance in Differential Gene Expression Experiments with External Spike-in RNA Control Ratio Mixtures

Sarah A. Munro, Steve P. Lund, P. Scott Pine +30

There is a critical need for standard approaches to assess, report, and compare the technical performance of genome-scale differential gene expression experiments. We assess techni…

q-bio.GN2013

featureCounts: An efficient general-purpose program for assigning sequence reads to genomic features

Yang Liao, Gordon K Smyth, Wei Shi

Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information requir…

q-bio.GN2013

Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

Simon Anders, Davis J. McCarthy, Yunshen Chen +4

RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas of biology, including studies into gene regulation, development and disease. Of…