Evidence map›Paper›PMID 25527096›Full record

ArticleBioinformatics (Oxford, England)2015

The Cyni framework for network inference in Cytoscape.

Oriol Guitart-Pla, Manjunath Kustagi, Frank Rügheimer, Andrea Califano, Benno Schwikowski

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  4. Review
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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.

Oriol Guitart-PlaSystems Biology Lab, Institut Pasteur, 75724 Paris Cedex 15, France and Department of Systems Biology, Columbia University, New York, NY 10032, USA.
Manjunath KustagiSystems Biology Lab, Institut Pasteur, 75724 Paris Cedex 15, France and Department of Systems Biology, Columbia University, New York, NY 10032, USA.
Frank RügheimerSystems Biology Lab, Institut Pasteur, 75724 Paris Cedex 15, France and Department of Systems Biology, Columbia University, New York, NY 10032, USA.
Andrea CalifanoSystems Biology Lab, Institut Pasteur, 75724 Paris Cedex 15, France and Department of Systems Biology, Columbia University, New York, NY 10032, USA.
Benno SchwikowskiSystems Biology Lab, Institut Pasteur, 75724 Paris Cedex 15, France and Department of Systems Biology, Columbia University, New York, NY 10032, USA.

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

motivationResearch on methods for the inference of networks from biological data is making significant advances, but the adoption of network inference in biomedical research practice is lagging behind. Here, we present Cyni, an open-source 'fill-in-the-algorithm' framework that provides common network inference functionality and user interface elements. Cyni allows the rapid transformation of Java-based network inference prototypes into apps of the popular open-source Cytoscape network analysis and visualization ecosystem. Merely placing the resulting app in the Cytoscape App Store makes the method accessible to a worldwide community of biomedical researchers by mouse click. In a case study, we illustrate the transformation of an ARACNE implementation into a Cytoscape app. AVAILABILITY AND IMPLEMENTATION: Cyni, its apps, user guides, documentation and sample code are available from the Cytoscape App Store http://apps.cytoscape.org/apps/cynitoolbox CONTACT: benno.schwikowski@pasteur.fr.

Indexed as

Gene Regulatory NetworksSoftwareAlgorithms

Identifiers

PMID25527096
PMCPMC4410647

What OpenQuestion holds

Textmetadata
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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.