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A shortcut for multiple testing on the directed acyclic graph of gene ontology

Overview of attention for article published in BMC Bioinformatics, November 2014
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Title
A shortcut for multiple testing on the directed acyclic graph of gene ontology
Published in
BMC Bioinformatics, November 2014
DOI 10.1186/s12859-014-0349-3
Pubmed ID
Authors

Garrett Saunders, John R Stevens, S Clay Isom

Abstract

BackgroundGene set testing has become an important analysis technique in high throughput microarray and next generation sequencing studies for uncovering patterns of differential expression of various biological processes. Often, the large number of gene sets that are tested simultaneously require some sort of multiplicity correction to account for the multiplicity effect. This work provides a substantial computational improvement to an existing familywise error rate controlling multiplicity approach (the Focus Level method) for gene set testing in high throughput microarray and next generation sequencing studies using Gene Ontology graphs, which we call the Short Focus Level.ResultsThe Short Focus Level procedure, which performs a shortcut of the full Focus Level procedure, is achieved by extending the reach of graphical weighted Bonferroni testing to closed testing situations where restricted hypotheses are present, such as in the Gene Ontology graphs. The Short Focus Level multiplicity adjustment can perform the full top-down approach of the original Focus Level procedure, overcoming a significant disadvantage of the otherwise powerful Focus Level multiplicity adjustment. The computational and power differences of the Short Focus Level procedure as compared to the original Focus Level procedure are demonstrated both through simulation and using real data.ConclusionsThe Short Focus Level procedure shows a significant increase in computation speed over the original Focus Level procedure (as much as ~15,000 times faster). The Short Focus Level should be used in place of the Focus Level procedure whenever the logical assumptions of the Gene Ontology graph structure are appropriate for the study objectives and when either no a priori focus level of interest can be specified or the focus level is selected at a higher level of the graph, where the Focus Level procedure is computationally intractable.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Brazil 1 3%
Sweden 1 3%
Israel 1 3%
Denmark 1 3%
Unknown 26 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 35%
Student > Ph. D. Student 8 26%
Student > Master 3 10%
Student > Doctoral Student 2 6%
Other 1 3%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 29%
Biochemistry, Genetics and Molecular Biology 4 13%
Computer Science 4 13%
Mathematics 3 10%
Medicine and Dentistry 3 10%
Other 4 13%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2014.
All research outputs
#17,731,162
of 22,769,322 outputs
Outputs from BMC Bioinformatics
#5,928
of 7,273 outputs
Outputs of similar age
#175,582
of 260,561 outputs
Outputs of similar age from BMC Bioinformatics
#116
of 147 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.