Evidence map›Paper›PMID 34594357›Full record

ReviewFrontiers in genetics2021

Modularity in Biological Networks.

Sergio Antonio Alcalá-Corona, Santiago Sandoval-Motta, Jesús Espinal-Enríquez, Enrique Hernández-Lemus

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Review
  3. Loss of long-range co-expression is a common feature in cancer.NPJ systems biology and applications · 2026
    Article
  4. Article
  5. Article
  6. Format-Preserving Reduction of Canonical Nonlinear Models.Bulletin of mathematical biology · 2026
    Article
  7. Article
  8. Review
  9. Functional Interpretation of Omics Data: From Pathways to Networks.Advances in experimental medicine and biology · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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

4 authors.

Sergio Antonio Alcalá-CoronaComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Santiago Sandoval-MottaComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Jesús Espinal-EnríquezComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Enrique Hernández-LemusComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network modeling, from the ecological to the molecular scale has become an essential tool for studying the structure, dynamics and complex behavior of living systems. Graph representations of the relationships between biological components open up a wide variety of methods for discovering the mechanistic and functional properties of biological systems. Many biological networks are organized into a modular structure, so methods to discover such modules are essential if we are to understand the biological system as a whole. However, most of the methods used in biology to this end, have a limited applicability, as they are very specific to the system they were developed for. Conversely, from the statistical physics and network science perspective, graph modularity has been theoretically studied and several methods of a very general nature have been developed. It is our perspective that in particular for the modularity detection problem, biology and theoretical physics/network science are less connected than they should. The central goal of this review is to provide the necessary background and present the most applicable and pertinent methods for community detection in a way that motivates their further usage in biological research.

Indexed as

biological networkscommunity structuremodularitymotifssystems biology

Identifiers

PMID34594357
PMCPMC8477004

What Socratic 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 Socratic graph.