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TIMER: Tumor IMmune Estimation Resource

Li, Bo; Li, Taiwen


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<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.57669</identifier>
  <creators>
    <creator>
      <creatorName>Li, Bo</creatorName>
      <givenName>Bo</givenName>
      <familyName>Li</familyName>
      <affiliation>Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA</affiliation>
    </creator>
    <creator>
      <creatorName>Li, Taiwen</creatorName>
      <givenName>Taiwen</givenName>
      <familyName>Li</familyName>
      <affiliation>State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China</affiliation>
    </creator>
  </creators>
  <titles>
    <title>TIMER: Tumor IMmune Estimation Resource</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>Tumor immunity</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-07-13</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/57669</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/taiwenli/TIMER/tree/v1.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.595496</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.0</version>
  <rightsList>
    <rights rightsURI="http://www.opensource.org/licenses/GPL-2.0">GNU General Public License v2.0 only</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;TIMER is a resource for systematical evaluations of the clinical impact of different immune cells in diverse cancer types. The abundance of six immune cell types: B cell, CD4 T cell, CD8 T cell, neutrphil, macrophage and dendritic cell in the tumor microenvironment is estimated using a novel statistical method we have developed. The outcome of this method has been validated using pathological estimations.&lt;/p&gt;</description>
  </descriptions>
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