Evidence map›Paper›PMID 30350013›Full record

ArticleBulletin of mathematical biology2019

Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes.

Christina Durón, Yuan Pan, David H Gutmann, Johanna Hardin, Ami Radunskaya

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  10. What Can Mathematics Do for Drug Development?Bulletin of mathematical biology · 2019
    Article
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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

5 authors.

Christina DurónMath Department, Claremont Graduate University, Claremont, CA, 91711, USA.
Yuan PanNeurology and Neurological Sciences, Stanford University Medical Center, Palo Alto, CA, USA.
David H GutmannDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Johanna HardinMath Department, Pomona College, Claremont, CA, 91711, USA.
Ami RadunskayaMath Department, Pomona College, Claremont, CA, 91711, USA. aer04747@pomona.edu.ORCID 0000-0002-2353-5046

Funding

Leveraging Genetically-Engineered Mice to Optimize Pediatric Glioma ManagementR01CA195692 · NCI · WASHINGTON UNIVERSITY · PI GUTMANN, DAVID H · 2015 to 2017
$1.7M
NCI NIH HHS R01 CA195692
6 · The paper itself

Abstract

This paper begins to build a theoretical framework that would enable the pharmaceutical industry to use network complexity measures as a way to identify drug targets. The variability of a betweenness measure for a network node is examined through different methods of network perturbation. Our results indicate a robustness of betweenness centrality in the identification of target genes.

Indexed as

Gene Regulatory NetworksGenes, EssentialModels, GeneticAlgorithmsAstrocytomaBrain NeoplasmsConfidence IntervalsDatabases, GeneticDrug DevelopmentGene Expression ProfilingHumansMathematical ConceptsNeoplasmsProtein Interaction MapsStatistics, NonparametricSystems BiologyBetweenness centralityDifferential expressionNetwork complexity measure

Identifiers

PMID30350013
PMCPMC6476710

What OpenQuestion holds

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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.