CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data

Clicks: 1
ID: 298903
2013
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #729 of 829 articles by views in BMC Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 829 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Summary: The CluePedia Cytoscape plugin is a search tool for new markers potentially associated to pathways. CluePedia calculates linear and non-linear statistical dependencies from experimental data. Genes, proteins and miRNAs can be connected based on in silico and/or experimental information and integrated into a ClueGO network of terms/pathways. Interrelations within each pathway can be investigated, and new potential associations may be revealed through gene/protein/miRNA enrichments. A pathway-like visualization can be created using the Cerebral plugin layout. Combining all these features is essential for data interpretation and the generation of new hypotheses. The CluePedia Cytoscape plugin is user-friendly and has an expressive and intuitive visualization. Availability: http://www.ici.upmc.fr/cluepedia/ and via the Cytoscape plugin manager. The user manual is available at the CluePedia website. Contact: bernhard.mlecnik@crc.jussieu.fr or jerome.galon@crc.jussieu.fr Supplementary information: Supplementary data are available at Bioinformatics online.
Reference Key
openalex_W2152026276 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Gabriela Bindea, Jérôme Galon, Bernhard Mlecnik
Journal BMC Bioinformatics
Year 2013
DOI
10.1093/bioinformatics/btt019
URL
https://academic.oup.com/bioinformatics/article-pdf/29/5/661/16918665/btt019.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.