Evidence map›Paper›PMID 23749960›Full record

ArticleBioinformatics (Oxford, England)2013

Network2Canvas: network visualization on a canvas with enrichment analysis.

Christopher M Tan, Edward Y Chen, Ruth Dannenfelser, Neil R Clark, Avi Ma'ayan

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  5. Oncogenic role of SFRP2 in p53-mutant osteosarcoma development via autocrine and paracrine mechanism.Proceedings of the National Academy of Sciences of the United States of America · 2018
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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.

Christopher M TanDepartment of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Edward Y Chen
Ruth Dannenfelser
Neil R Clark
Avi Ma'ayan

Funding

System Biology Center in New YorkP50GM071558 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZAPH, SUSANA NEVES · 2007 to 2017
$22.8M
Pharmaco Response Signatures and Disease MechanismU54HG006097 · NHGRI · HARVARD MEDICAL SCHOOL · PI MITCHISON, TIMOTHY J, SORGER, PETER KARL · 2010 to 2013
$9.7M
Role of HIPK2 in Kidney Tubulointerstitial InjuryR01DK088541 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HE, JOHN CIJIANG · 2010 to 2019
$4.0M
Expression2Kinases: mRNA Profiling Linked to Multiple Upstream Regulatory LayersR01GM098316 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2012 to 2015
$1.3M
NHGRI NIH HHS U54 HG006097NHGRI NIH HHS U54HG006097-02S1NIDDK NIH HHS R01 DK088541NIDDK NIH HHS R01DK088541NIGMS NIH HHS P50 GM071558NIGMS NIH HHS P50GM071558NIGMS NIH HHS R01 GM098316NIGMS NIH HHS R01GM098316
6 · The paper itself

Abstract

motivationNetworks are vital to computational systems biology research, but visualizing them is a challenge. For networks larger than ∼100 nodes and ∼200 links, ball-and-stick diagrams fail to convey much information. To address this, we developed Network2Canvas (N2C), a web application that provides an alternative way to view networks. N2C visualizes networks by placing nodes on a square toroidal canvas. The network nodes are clustered on the canvas using simulated annealing to maximize local connections where a node's brightness is made proportional to its local fitness. The interactive canvas is implemented in HyperText Markup Language (HTML)5 with the JavaScript library Data-Driven Documents (D3). We applied N2C to visualize 30 canvases made from human and mouse gene-set libraries and 6 canvases made from the Food and Drug Administration (FDA)-approved drug-set libraries. Given lists of genes or drugs, enriched terms are highlighted on the canvases, and their degree of clustering is computed. Because N2C produces visual patterns of enriched terms on canvases, a trained eye can detect signatures instantly. In summary, N2C provides a new flexible method to visualize large networks and can be used to perform and visualize gene-set and drug-set enrichment analyses. AVAILABILITY: N2C is freely available at http://www.maayanlab.net/N2C and is open source. CONTACT: avi.maayan@mssm.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Computer GraphicsDrug-Related Side Effects and Adverse ReactionsGene Regulatory NetworksSoftwareAnimalsEmbryonic Stem CellsGene LibraryHumansInternetMicePharmaceutical PreparationsSystems BiologyPharmaceutical Preparations

Identifiers

PMID23749960
PMCPMC3712222

What OpenQuestion holds

Textmetadata
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.