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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Schema
  9. External Links
  10. Analytics And Tracking
  11. Libraries
  12. CDN Services

We are analyzing https://link.springer.com/protocol/10.1007/978-1-61779-276-2_12.

Title:
Visualizing Gene-Set Enrichment Results Using the Cytoscape Plug-in Enrichment Map | SpringerLink
Description:
Gene-set enrichment analysis finds functionally coherent gene-sets, such as pathways, that are statistically overrepresented in a given gene list. Ideally, the number of resulting sets is smaller than the number of genes in the list, thus simplifying interpretation....
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Science
  • Technology & Computing

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

We're unsure how the site profits.

While profit motivates many websites, others exist to inspire, entertain, or provide valuable resources. Websites have a variety of goals. And this might be one of them. Link.springer.com has a secret sauce for making money, but we can't detect it yet.

Keywords {🔍}

enrichment, article, analysis, gene, google, scholar, protocol, bader, data, research, network, cytoscape, isserlin, privacy, cookies, content, information, publish, biology, results, merico, access, cas, toronto, search, geneset, gary, genesets, set, nature, pubmed, biomolecular, download, springer, usd, personal, log, journal, plugin, map, january, daniele, ruth, book, methods, molecular, number, pathway, open, genetics,

Topics {✒️}

month download article/chapter biological module-centric algorithm knowledge-based approach pathway analysis large gene lists enrichment map protocol nature protocols 2 gene expression data gene set microarray data analysis privacy choices/manage cookies enrichment results david bioinformatics resources network biology device instant download humana press editor information editors journal finder publish gene-sets european economic area global proteomic profiling check access ethics access conditions privacy policy �enrichment map” enrichment map ruth isserlin & gary enrichment maps accepting optional cookies biomolecular interaction networks usage analysis integrative analysis network clusters protocol usd 49 main content log online biomolecular research protocol merico combined results medical research protocol cite gene list journal publish molecular biology social media set permissions reprints resulting sets author correspondence university college dublin

Schema {🗺️}

ScholarlyArticle:
      headline:Visualizing Gene-Set Enrichment Results Using the Cytoscape Plug-in Enrichment Map
      pageEnd:277
      pageStart:257
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-61779-276-2.jpg
      genre:
         Springer Protocols
      isPartOf:
         name:Network Biology
         isbn:
            978-1-61779-276-2
            978-1-61779-275-5
         type:Book
      publisher:
         name:Humana Press
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Daniele Merico
            affiliation:
                  name:Centre for Cellular and Biomolecular Research (CCBR)
                  address:
                     name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
                     type:PostalAddress
                  type:Organization
                  name:University of Toronto
                  address:
                     name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ruth Isserlin
            affiliation:
                  name:Centre for Cellular and Biomolecular Research (CCBR)
                  address:
                     name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
                     type:PostalAddress
                  type:Organization
                  name:University of Toronto
                  address:
                     name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Gary D. Bader
            affiliation:
                  name:Centre for Cellular and Biomolecular Research (CCBR)
                  address:
                     name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
                     type:PostalAddress
                  type:Organization
                  name:University of Toronto
                  address:
                     name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      keywords:Gene-set enrichment, Functional enrichment, Microarray data analysis, Gene ontology, Pathways
      description:Gene-set enrichment analysis finds functionally coherent gene-sets, such as pathways, that are statistically overrepresented in a given gene list. Ideally, the number of resulting sets is smaller than the number of genes in the list, thus simplifying interpretation. However, the increasing number and redundancy of ­gene-sets used by many current enrichment analysis resources work against this ideal. “Enrichment Map” is a Cytoscape plug-in that helps overcome gene-set redundancy and aids in the interpretation of enrichment results. Gene-sets are organized in a network, where each set is a node and links represent gene overlap between sets. Automated network layout groups related gene-sets into ­network clusters, enabling the user to quickly identify the major enriched functional themes and more easily interpret enrichment results.
      datePublished:2011
      isAccessibleForFree:
      hasPart:
         isAccessibleForFree:
         cssSelector:.main-content
         type:WebPageElement
      context:https://schema.org
Book:
      name:Network Biology
      isbn:
         978-1-61779-276-2
         978-1-61779-275-5
Organization:
      name:Humana Press
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Centre for Cellular and Biomolecular Research (CCBR)
      address:
         name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
         type:PostalAddress
      name:University of Toronto
      address:
         name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
         type:PostalAddress
      name:Centre for Cellular and Biomolecular Research (CCBR)
      address:
         name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
         type:PostalAddress
      name:University of Toronto
      address:
         name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
         type:PostalAddress
      name:Centre for Cellular and Biomolecular Research (CCBR)
      address:
         name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
         type:PostalAddress
      name:University of Toronto
      address:
         name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Daniele Merico
      affiliation:
            name:Centre for Cellular and Biomolecular Research (CCBR)
            address:
               name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
               type:PostalAddress
            type:Organization
            name:University of Toronto
            address:
               name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
               type:PostalAddress
            type:Organization
      name:Ruth Isserlin
      affiliation:
            name:Centre for Cellular and Biomolecular Research (CCBR)
            address:
               name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
               type:PostalAddress
            type:Organization
            name:University of Toronto
            address:
               name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
               type:PostalAddress
            type:Organization
      name:Gary D. Bader
      affiliation:
            name:Centre for Cellular and Biomolecular Research (CCBR)
            address:
               name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
               type:PostalAddress
            type:Organization
            name:University of Toronto
            address:
               name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
      name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
      name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
      name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
      name:Banting and Best Department of Medical Research, Centre for Cellular and Biomolecular Research (CCBR), Toronto, Canada
      name:Department of Molecular Genetics, University of Toronto, Toronto, Canada
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

External Links {🔗}(50)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js

CDN Services {📦}

  • Pbgrd

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