Evidence map›Paper›PMID 26566394›Full record

ArticleSource code for biology and medicine2015

CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks.

Maciej Fronczuk, Adrian E Raftery, Ka Yee Yeung

Abstract read
In one paragraph

Article in Source code for biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Maciej FronczukInstitute of Technology, University of Washington, Tacoma, 98402 WA USA.
Adrian E RafteryDepartment of Statistics, University of Washington, Seattle, 98195 WA USA.
Ka Yee YeungInstitute of Technology, University of Washington, Tacoma, 98402 WA USA.

Funding

Data Coordination and Integration Center for LINCS-BD2KU54HL127624 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SCHURER, STEPHAN C · 2014 to 2019
$23.5M
Statistical Methods for Population ProjectionsR01HD070936 · NICHD · UNIVERSITY OF WASHINGTON · PI RAFTERY, ADRIAN E · 2012 to 2021
$3.3M
Sexually Transmitted Infection Epidemics: Bayesian Prevalence & Size EstimateR01HD054511 · NICHD · UNIVERSITY OF WASHINGTON · PI RAFTERY, ADRIAN E · 2007 to 2016
$3.2M
Prediction and Network Construction Using High-throughput DataR01GM084163 · NIGMS · UNIVERSITY OF WASHINGTON · PI YEUNG-RHEE, KA YEE · 2008 to 2012
$2.6M
NHLBI NIH HHS U54 HL127624NICHD NIH HHS R01 HD054511NICHD NIH HHS R01 HD070936NIGMS NIH HHS R01 GM084163
6 · The paper itself

Abstract

backgroundInference of gene networks from expression data is an important problem in computational biology. Many algorithms have been proposed for solving the problem efficiently. However, many of the available implementations are programming libraries that require users to write code, which limits their accessibility.

resultsWe have developed a tool called CyNetworkBMA for inferring gene networks from expression data that integrates with Cytoscape. Our application offers a graphical user interface for networkBMA, an efficient implementation of Bayesian Model Averaging methods for network construction. The client-server architecture of CyNetworkBMA makes it possible to distribute or centralize computation depending on user needs.

conclusionsCyNetworkBMA is an easy-to-use tool that makes network inference accessible to non-programmers through seamless integration with Cytoscape. CyNetworkBMA is available on the Cytoscape App Store at http://apps.cytoscape.org/apps/cynetworkbma.

Identifiers

PMID26566394
PMCPMC4642660

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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.