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TIMER: Tumor IMmune Estimation Resource

Li, Bo; Li, Taiwen


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{
  "description": "<p>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.</p>", 
  "license": "http://www.opensource.org/licenses/GPL-2.0", 
  "creator": [
    {
      "affiliation": "Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA", 
      "@type": "Person", 
      "name": "Li, Bo"
    }, 
    {
      "affiliation": "State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China", 
      "@type": "Person", 
      "name": "Li, Taiwen"
    }
  ], 
  "url": "https://zenodo.org/record/57669", 
  "codeRepository": "https://github.com/taiwenli/TIMER/tree/v1.0", 
  "datePublished": "2016-07-13", 
  "version": "v1.0", 
  "keywords": [
    "Tumor immunity"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.57669", 
  "@id": "https://doi.org/10.5281/zenodo.57669", 
  "@type": "SoftwareSourceCode", 
  "name": "TIMER: Tumor IMmune Estimation Resource"
}
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