Evidence map›Paper›PMID 24133454›Full record

ReviewFrontiers in physiology2013

Methods and approaches in the topology-based analysis of biological pathways.

Cristina Mitrea, Zeinab Taghavi, Behzad Bokanizad, Samer Hanoudi, Rebecca Tagett, Michele Donato, Călin Voichiţa, Sorin Drăghici

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

113 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. A practical guide to functional enrichment analysis.Frontiers in bioinformatics · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Perturbations in the neuroactive ligand-receptor interaction and renin angiotensin system pathways are associated with cancer-related cognitive impairment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  10. Article
  11. Estimating Enzyme Expression and Metabolic Pathway Activity inJournal of computational biology : a journal of computational molecular cell biology · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Perturbations in inflammatory pathways are associated with shortness of breath profiles in oncology patients receiving chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Review

53 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

8 authors.

Cristina MitreaDepartment of Computer Science, Wayne State University Detroit, MI, USA.
Zeinab Taghavi
Behzad Bokanizad
Samer Hanoudi
Rebecca Tagett
Michele Donato
Călin Voichiţa
Sorin Drăghici

Funding

Pathway-Guide: A novel tool for the analysis of signaling and metabolic pathwaysR42GM087013 · NIGMS · ADVAITA CORPORATION · PI DRAGHICI, SORIN · 2011 to 2013
$2.2M
Novel methods for the analysis of gene signaling pathways with applications in obR01DK089167 · NIDDK · WAYNE STATE UNIVERSITY · PI DRAGHICI, SORIN · 2010 to 2013
$1.2M
NIDDK NIH HHS R01 DK089167NIGMS NIH HHS R42 GM087013
6 · The paper itself

Abstract

The goal of pathway analysis is to identify the pathways significantly impacted in a given phenotype. Many current methods are based on algorithms that consider pathways as simple gene lists, dramatically under-utilizing the knowledge that such pathways are meant to capture. During the past few years, a plethora of methods claiming to incorporate various aspects of the pathway topology have been proposed. These topology-based methods, sometimes referred to as "third generation," have the potential to better model the phenomena described by pathways. Although there is now a large variety of approaches used for this purpose, no review is currently available to offer guidance for potential users and developers. This review covers 22 such topology-based pathway analysis methods published in the last decade. We compare these methods based on: type of pathways analyzed (e.g., signaling or metabolic), input (subset of genes, all genes, fold changes, gene p-values, etc.), mathematical models, pathway scoring approaches, output (one or more pathway scores, p-values, etc.) and implementation (web-based, standalone, etc.). We identify and discuss challenges, arising both in methodology and in pathway representation, including inconsistent terminology, different data formats, lack of meaningful benchmarks, and the lack of tissue and condition specificity.

Indexed as

mathematical modelmetabolic pathwaysnetwork topologypathway analysissignaling pathwaysstatistical significancetopology

Identifiers

PMID24133454
PMCPMC3794382

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.