Evidence map›Paper›PMID 24078684›Full record

ArticleBioinformatics (Oxford, England)2013

INVEX--a web-based tool for integrative visualization of expression data.

Jianguo Xia, Ngan H Lyle, Matthew L Mayer, Olga M Pena, Robert E W Hancock

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Autophagy Induced by BCL2-Related ceRNA Network Participates in the Occurrence of COPD.International journal of chronic obstructive pulmonary disease · 2022
    Article
  18. Article
  19. Article
  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

5 authors.

Jianguo XiaDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, Canada V6T 1Z3, Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, Canada V6T 1Z4 and Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK.
Ngan H Lyle
Matthew L Mayer
Olga M Pena
Robert E W Hancock

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

summaryGene expression or metabolomics data generated from clinical settings are often associated with multiple metadata (i.e. diagnosis, genotype, gender, etc.). It is of great interest to analyze and to visualize the data in these contexts. Here, we introduce INVEX-a novel web-based tool that integrates the server-side capabilities for data analysis with the browse-based technology for data visualization. INVEX has two key features: (i) flexible differential expression analysis for a wide variety of experimental designs; and (ii) interactive visualization within the context of metadata and biological annotations. INVEX has built-in support for gene/metabolite annotation and a fully functional heatmap builder. AVAILABILITY AND IMPLEMENTATION: Freely available at http://www.invex.ca.

Indexed as

Computer GraphicsGene Expression ProfilingInternetMetabolomicsSoftwareAnimalsHumansMolecular Sequence AnnotationUser-Computer Interface

Identifiers

PMID24078684
PMCPMC3842763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.