Evidence map›Paper›PMID 26733877›Full record

ReviewFrontiers in physiology2015

Pathway Analysis: State of the Art.

Miguel A García-Campos, Jesús Espinal-Enríquez, Enrique Hernández-Lemus

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 2 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

140 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Urinary metabolomic signatures of muscle injury and recovery in elite football players.Metabolomics : Official journal of the Metabolomic Society · 2026
    Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. CladeOScope-GSA: Revealing Evolutionary Associations Across Gene Sets.International journal of molecular sciences · 2026
    Article
  14. Article
  15. Functional Interpretation of Omics Data: From Pathways to Networks.Advances in experimental medicine and biology · 2026
    Review
  16. A practical guide to functional enrichment analysis.Frontiers in bioinformatics · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

80 more citing papers are in PubMed but not listed here.

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.

Miguel A García-CamposComputational Genomics, National Institute of Genomic Medicine México City, México.
Jesús Espinal-EnríquezComputational Genomics, National Institute of Genomic MedicineMéxico City, México; Complejidad en Biología de Sistemas, Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de MéxicoCiudad de México, México.
Enrique Hernández-LemusComputational Genomics, National Institute of Genomic MedicineMéxico City, México; Complejidad en Biología de Sistemas, Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de MéxicoCiudad de México, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathway analysis is a set of widely used tools for research in life sciences intended to give meaning to high-throughput biological data. The methodology of these tools settles in the gathering and usage of knowledge that comprise biomolecular functioning, coupled with statistical testing and other algorithms. Despite their wide employment, pathway analysis foundations and overall background may not be fully understood, leading to misinterpretation of analysis results. This review attempts to comprise the fundamental knowledge to take into consideration when using pathway analysis as a hypothesis generation tool. We discuss the key elements that are part of these methodologies, their capabilities and current deficiencies. We also present an overview of current and all-time popular methods, highlighting different classes across them. In doing so, we show the exploding diversity of methods that pathway analysis encompasses, point out commonly overlooked caveats, and direct attention to a potential new class of methods that attempt to zoom the analysis scope to the sample scale.

Indexed as

bioinformaticsfunctional class scoringhigh-throughput biological dataover representationpathway analysispathway-topologysystems biology

Identifiers

PMID26733877
PMCPMC4681784

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.