Journal ArticleDOI
A direct approach to false discovery rates
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TLDR
The calculation of the q‐value is discussed, the pFDR analogue of the p‐value, which eliminates the need to set the error rate beforehand as is traditionally done, and can yield an increase of over eight times in power compared with the Benjamini–Hochberg FDR method.Abstract:
Summary. Multiple-hypothesis testing involves guarding against much more complicated errors than single-hypothesis testing. Whereas we typically control the type I error rate for a single-hypothesis test, a compound error rate is controlled for multiple-hypothesis tests. For example, controlling the false discovery rate FDR traditionally involves intricate sequential p-value rejection methods based on the observed data. Whereas a sequential p-value method fixes the error rate and estimates its corresponding rejection region, we propose the opposite approach—we fix the rejection region and then estimate its corresponding error rate. This new approach offers increased applicability, accuracy and power. We apply the methodology to both the positive false discovery rate pFDR and FDR, and provide evidence for its benefits. It is shown that pFDR is probably the quantity of interest over FDR. Also discussed is the calculation of the q-value, the pFDR analogue of the p-value, which eliminates the need to set the error rate beforehand as is traditionally done. Some simple numerical examples are presented that show that this new approach can yield an increase of over eight times in power compared with the Benjamini–Hochberg FDR method.read more
Citations
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Journal ArticleDOI
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
TL;DR: An R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters and can be easily extended to other species and ontologies is presented.
Journal ArticleDOI
Statistical significance for genomewide studies
John D. Storey,Robert Tibshirani +1 more
TL;DR: This work proposes an approach to measuring statistical significance in genomewide studies based on the concept of the false discovery rate, which offers a sensible balance between the number of true and false positives that is automatically calibrated and easily interpreted.
Journal ArticleDOI
PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes
Vamsi K. Mootha,Cecilia M. Lindgren,Cecilia M. Lindgren,Karl-Fredrik Eriksson,Aravind Subramanian,Smita Sihag,J. Lehar,Pere Puigserver,Emma Carlsson,Martin Ridderstråle,Esa Laurila,Nicholas E. Houstis,Mark J. Daly,Nick Patterson,Jill P. Mesirov,Todd R. Golub,Todd R. Golub,Pablo Tamayo,Bruce M. Spiegelman,Eric S. Lander,Joel N. Hirschhorn,Joel N. Hirschhorn,Joel N. Hirschhorn,David Altshuler,Leif Groop +24 more
TL;DR: An analytical strategy is introduced, Gene Set Enrichment Analysis, designed to detect modest but coordinate changes in the expression of groups of functionally related genes, which identifies a set of genes involved in oxidative phosphorylation whose expression is coordinately decreased in human diabetic muscle.
Journal ArticleDOI
MEME Suite: tools for motif discovery and searching
Timothy L. Bailey,Mikael Bodén,Fabian A. Buske,Martin C. Frith,Charles E. Grant,Luca Clementi,Jingyuan Ren,Wilfred W. Li,William Stafford Noble +8 more
TL;DR: The popular MEME motif discovery algorithm is now complemented by the GLAM2 algorithm which allows discovery of motifs containing gaps, and all of the motif-based tools are now implemented as web services via Opal.
Journal ArticleDOI
A review of feature selection techniques in bioinformatics
TL;DR: A basic taxonomy of feature selection techniques is provided, providing their use, variety and potential in a number of both common as well as upcoming bioinformatics applications.
References
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Journal ArticleDOI
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Yoav Benjamini,Yosef Hochberg +1 more
TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Journal ArticleDOI
Significance analysis of microarrays applied to the ionizing radiation response
TL;DR: A method that assigns a score to each gene on the basis of change in gene expression relative to the standard deviation of repeated measurements is described, suggesting that this repair pathway for UV-damaged DNA might play a previously unrecognized role in repairing DNA damaged by ionizing radiation.
Journal ArticleDOI
The positive false discovery rate: a Bayesian interpretation and the q-value
TL;DR: The Positive False Discovery Rate (pFDR) as mentioned in this paper is a modified version of the false discovery rate (FDR), which is used for exploratory analyses in which one is interested in finding several significant results among many tests.
Journal ArticleDOI
Empirical Bayes analysis of a microarray experiment
TL;DR: A simple nonparametric empirical Bayes model is introduced, which is used to guide the efficient reduction of the data to a single summary statistic per gene, and also to make simultaneous inferences concerning which genes were affected by the radiation.
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