Evidence map›Paper›PMID 17890270›Full record

ArticleBioinformatics (Oxford, England)2007

TAPPA: topological analysis of pathway phenotype association.

Shouguo Gao, Xujing Wang

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  9. Single-cell technologies in reproductive immunology.American journal of reproductive immunology (New York, N.Y. : 1989) · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. On the performance of de novo pathway enrichment.NPJ systems biology and applications · 2017
    Article
  16. Article
  17. Advanced Applications of RNA Sequencing and Challenges.Bioinformatics and biology insights · 2015
    Review
  18. Article
  19. Review
  20. Article
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

2 authors.

Shouguo GaoThe Max McGee National Research Center for Juvenile Diabetes & The Human and Molecular Genetics Center, The Medical College of Wisconsin and Children's Hospital of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA.
Xujing Wang

Funding

Integrative genomics to to dissect the genetic regulation of T1D onsetR01DK080100 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WANG, XUJING · 2007 to 2010
$1.0M
NIDDK NIH HHS R01 DK080100NIDDK NIH HHS R01DK080100
6 · The paper itself

Abstract

Extracting biological insight from microarray data is important but challenging. Here we describe TAPPA, a java-based tool, for identification of phenotype-associated genetic pathways utilizing the pathway topological measures. This is achieved by first calculating a Pathway Connectivity Index (PCI) for each pathway, followed by evaluating its correlation to the phenotypic variation. Our PCI definition not only efficiently captures the contributions from genes that show subtle but consistent changes in expression, but also naturally overweighs the hub genes that interact with a large number of other genes in the pathway. TAPPA also allows evaluation of sub-modules within a pathway and their association to phenotypes.

Indexed as

AlgorithmsModels, BiologicalSoftwareComputer SimulationGene Expression ProfilingOligonucleotide Array Sequence AnalysisProgramming LanguagesProteomeSignal TransductionProteome

Identifiers

PMID17890270
PMCPMC2473868

What OpenQuestion holds

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Registered trials

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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.