Evidence map›Paper›PMID 33095781›Full record

ArticlePLoS computational biology2020

Multiscale community detection in Cytoscape.

Akshat Singhal, Song Cao, Christopher Churas, Dexter Pratt, Santo Fortunato, Fan Zheng, Trey Ideker

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Using Biological Networks to Guide Biomedical Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
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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

7 authors.

Akshat SinghalDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0001-5371-526X
Song CaoDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0002-1891-3583
Christopher ChurasDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0001-9998-705X
Dexter PrattDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0002-1471-9513
Santo FortunatoSchool of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, United States of America.ORCID 0000-0002-9039-4730
Fan ZhengDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0002-4403-112X
Trey IdekerDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0002-1708-8454

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KROGAN, NEVAN J · 2017 to 2021
$10.9M
NDEx - the Network Data Exchange A Network Commons for BiologistsU24CA184427 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PRATT, DEXTER · 2014 to 2021
$5.7M
Cytoscape: A Modeling Platform for Biomolecular NetworksR01HG009979 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2017 to 2021
$3.5M
NCI NIH HHS U24 CA184427NCI NIH HHS U54 CA209891NHGRI NIH HHS R01 HG009979NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

Detection of community structure has become a fundamental step in the analysis of biological networks with application to protein function annotation, disease gene prediction, and drug discovery. This recent impact creates a need to make these techniques and their accompanying visualization schemes available to a broad range of biologists. Here we present a service-oriented, end-to-end software framework, CDAPS (Community Detection APplication and Service), that integrates the identification, annotation, visualization, and interrogation of multiscale network communities, accessible within the popular Cytoscape network analysis platform. With novel design principles, CDAPS addresses unmet new challenges, such as identifying hierarchical community structures, comparison of outputs generated from diverse network resources, and easy deployment of new algorithms, to facilitate community-sourced science. We demonstrate that the CDAPS framework can be applied to high-throughput protein-protein interaction networks to gain novel insights, such as the identification of putative new members of known protein complexes.

Indexed as

Cluster AnalysisSoftwareAlgorithmsComputational BiologyDatabases, GeneticHumansProtein Interaction Maps

Identifiers

PMID33095781
PMCPMC7584444

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.