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We are analyzing https://link.springer.com/protocol/10.1007/978-1-4939-6740-7_15.

Title:
Determining the Significance of Protein Network Features and Attributes Using Permutation Testing | SpringerLink
Description:
Network analysis methods are increasing in popularity. An approach commonly applied to analyze proteomics data involves the use of protein–protein interaction (PPI) networks to explore the systems-level cooperation between proteins identified in a study. In...
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 don’t know how the website earns money.

Websites don't always need to be profitable; some serve as platforms for education or personal expression. Websites can serve multiple purposes. And this might be one of them. Link.springer.com could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

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Topics {✒️}

month download article/chapter convergent bio-nano science calculating exact p-values protein–protein interaction protein interaction networks protein network features privacy choices/manage cookies device instant download accurate p-values signaling network characteristics proteome bioinformatics permutation p-values author information authors la trobe institute australian nbcf cdf-14-043 protocol cursons human molecular subgroups european economic area traditional functional enrichment python code demonstrating sleeping beauty mutagenesis system level dynamics post-translational modifications comput struct biotechnol o'toole sa mining interactome modules eliza hall institute 1g royal parade integrating spatial proteomics permutation testing protocol conditions privacy policy systems-level cooperation systems biology laboratory approach commonly applied pathway enrichment analyses la trobe university journal finder publish bioinformatics division accepting optional cookies stimulus-dependent differences project number ce140100036 australia melissa main content log network analysis bmc genomics 11 protocol usd 49 medical research permissions reprints social media stat sci 19

Schema {🗺️}

ScholarlyArticle:
      headline:Determining the Significance of Protein Network Features and Attributes Using Permutation Testing
      pageEnd:208
      pageStart:199
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-4939-6740-7.jpg
      genre:
         Springer Protocols
      isPartOf:
         name:Proteome Bioinformatics
         isbn:
            978-1-4939-6740-7
            978-1-4939-6738-4
         type:Book
      publisher:
         name:Springer New York
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Joseph Cursons
            affiliation:
                  name:The University of Melbourne
                  address:
                     name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
                     type:PostalAddress
                  type:Organization
                  name:The University of Melbourne
                  address:
                     name:ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
                     type:PostalAddress
                  type:Organization
                  name:Walter and Eliza Hall Institute of Medical Research
                  address:
                     name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Melissa J. Davis
            affiliation:
                  name:The University of Melbourne
                  address:
                     name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
                     type:PostalAddress
                  type:Organization
                  name:Walter and Eliza Hall Institute of Medical Research
                  address:
                     name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
                     type:PostalAddress
                  type:Organization
                  name:The University of Melbourne
                  address:
                     name:Faculty of Medicine, Dentistry and Health Science, Department of Biochemistry and Molecular Biology, The University of Melbourne, Parkville, Australia
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:PPI, Protein interaction, Network structure, Permutation testing, Computational systems biology, PROSPERITI, Proteomics
      description:Network analysis methods are increasing in popularity. An approach commonly applied to analyze proteomics data involves the use of protein–protein interaction (PPI) networks to explore the systems-level cooperation between proteins identified in a study. In this context, protein interaction networks can be used alongside the statistical analysis of proteomics data and traditional functional enrichment or pathway enrichment analyses. In network analysis it is possible to adjust for some of the complexities that arise due to the known, explicit interdependence between the measured quantities, in particular, differences in the number of interactions between proteins. Here we describe a method for calculating robust empirical p-values for protein interaction networks. We also provide a worked example with python code demonstrating the implementation of this methodology.
      datePublished:2017
      isAccessibleForFree:
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      context:https://schema.org
Book:
      name:Proteome Bioinformatics
      isbn:
         978-1-4939-6740-7
         978-1-4939-6738-4
Organization:
      name:Springer New York
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:The University of Melbourne
      address:
         name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
         type:PostalAddress
      name:The University of Melbourne
      address:
         name:ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
         type:PostalAddress
      name:Walter and Eliza Hall Institute of Medical Research
      address:
         name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
         type:PostalAddress
      name:The University of Melbourne
      address:
         name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
         type:PostalAddress
      name:Walter and Eliza Hall Institute of Medical Research
      address:
         name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
         type:PostalAddress
      name:The University of Melbourne
      address:
         name:Faculty of Medicine, Dentistry and Health Science, Department of Biochemistry and Molecular Biology, The University of Melbourne, Parkville, Australia
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Joseph Cursons
      affiliation:
            name:The University of Melbourne
            address:
               name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
               type:PostalAddress
            type:Organization
            name:The University of Melbourne
            address:
               name:ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
               type:PostalAddress
            type:Organization
            name:Walter and Eliza Hall Institute of Medical Research
            address:
               name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
               type:PostalAddress
            type:Organization
      name:Melissa J. Davis
      affiliation:
            name:The University of Melbourne
            address:
               name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
               type:PostalAddress
            type:Organization
            name:Walter and Eliza Hall Institute of Medical Research
            address:
               name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
               type:PostalAddress
            type:Organization
            name:The University of Melbourne
            address:
               name:Faculty of Medicine, Dentistry and Health Science, Department of Biochemistry and Molecular Biology, The University of Melbourne, Parkville, Australia
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
      name:ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
      name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
      name:Systems Biology Laboratory, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia
      name:Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
      name:Faculty of Medicine, Dentistry and Health Science, Department of Biochemistry and Molecular Biology, The University of Melbourne, Parkville, Australia
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

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