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Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models

Baum, Katharina; Rajapakse, Jagath C.; Azuaje, Francisco


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  <identifier identifierType="DOI">10.5281/zenodo.3363060</identifier>
  <creators>
    <creator>
      <creatorName>Baum, Katharina</creatorName>
      <givenName>Katharina</givenName>
      <familyName>Baum</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7256-0566</nameIdentifier>
      <affiliation>Bioinformatics and Modelling, Luxembourg Institute of Health, and Mathematical Modelling of Cellular Processes, Max Delbrück Center for Molecular Medicine in the Helmholtz Association</affiliation>
    </creator>
    <creator>
      <creatorName>Rajapakse, Jagath C.</creatorName>
      <givenName>Jagath C.</givenName>
      <familyName>Rajapakse</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7944-1658</nameIdentifier>
      <affiliation>School of Computer Science and Engineering, Nanyang Technological University</affiliation>
    </creator>
    <creator>
      <creatorName>Azuaje, Francisco</creatorName>
      <givenName>Francisco</givenName>
      <familyName>Azuaje</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9207-9072</nameIdentifier>
      <affiliation>Bioinformatics and Modelling, Luxembourg Institute of Health</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>biomolecular networks</subject>
    <subject>edge relevance</subject>
    <subject>missing and spurious edges</subject>
    <subject>network-based omics analysis</subject>
    <subject>weighted stochastic block model</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-08-08</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3363060</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2586674</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/zenodo</relatedIdentifier>
  </relatedIdentifiers>
  <version>v3</version>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Baum_et_al_2019_Supplementary_Figures.pdf:&amp;nbsp;&lt;/strong&gt;Supplementary Figures S1-S4. Legends are included under each figure.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;sbm-for-correlation-based-networks-master.zip:&amp;nbsp;&lt;/strong&gt;Archived source code of R and Python functions for the&amp;nbsp;analyses&amp;nbsp;and example workflow description&amp;nbsp;at time of publication. Files are maintained at https://gitlab.com/biomodlih/sbm-for-correlation-based-networks and&amp;nbsp;https://gitlab.com/kabaum/sbm-for-correlation-based-networks.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Budczies J, Brockmoller SF, et al. (2013). Comparative metabolomics of estrogen receptor positive and estrogen receptor negative breast cancer: alterations in glutamine and beta-alanine metabolism. J Proteomics. 2013;94:279-88.", "Peixoto TP (2014). The graph-tool python library. 10.6084/m9.figshare.1164194", "Langfelder P, Horvath S. WGCNA (2008): an R package for weighted correlation network analysis. BMC Bioinformatics, 9:559."]}</description>
  </descriptions>
</resource>
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