Evidence map›Paper›PMID 24432194›Full record

ArticlePeerJ2013

Pathway-GPS and SIGORA: identifying relevant pathways based on the over-representation of their gene-pair signatures.

Amir B K Foroushani, Fiona S L Brinkman, David J Lynn

Abstract read
In one paragraph

Article in PeerJ, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. HSAInternational journal of molecular sciences · 2025
    Article
  5. Time-course transcriptomics reveals the impact ofFrontiers in microbiology · 2025
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  14. Development of a Blood-based Transcriptional Risk Score for Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2022
    Article
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  18. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Amir B K ForoushaniAnimal & Bioscience Research Department, AGRIC, Teagasc , Grange, Dunsany, Co. Meath , Ireland ; Department of Molecular Biology and Biochemistry, Simon Fraser University , Burnaby, British Columbia , Canada.
Fiona S L BrinkmanDepartment of Molecular Biology and Biochemistry, Simon Fraser University , Burnaby, British Columbia , Canada.
David J LynnAnimal & Bioscience Research Department, AGRIC, Teagasc , Grange, Dunsany, Co. Meath , Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation. Predominant pathway analysis approaches treat pathways as collections of individual genes and consider all pathway members as equally informative. As a result, at times spurious and misleading pathways are inappropriately identified as statistically significant, solely due to components that they share with the more relevant pathways. Results. We introduce the concept of Pathway Gene-Pair Signatures (Pathway-GPS) as pairs of genes that, as a combination, are specific to a single pathway. We devised and implemented a novel approach to pathway analysis, Signature Over-representation Analysis (SIGORA), which focuses on the statistically significant enrichment of Pathway-GPS in a user-specified gene list of interest. In a comparative evaluation of several published datasets, SIGORA outperformed traditional methods by delivering biologically more plausible and relevant results. Availability. An efficient implementation of SIGORA, as an R package with precompiled GPS data for several human and mouse pathway repositories is available for download from http://sigora.googlecode.com/svn/.

Indexed as

Functional analysisHigh-throughput dataOver-representation analysisPathway analysisShared componentsSystems biology

Identifiers

PMID24432194
PMCPMC3883547

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.