Dataset Open Access

Multixcan Paper Data

Barbeira, Alvaro Numa


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{
  "description": "<p>This data set contains all files&nbsp; analyzed in the MulTiXcan paper.</p>\n\n<p>MulTiXcan is a method to integrate xQTL and GWAS data. It jointly leverages (gene) expression information from multiple panels (i.e. different tissues) to identify underlying mechanisms involced in complex traits.</p>\n\n<p>Code available in the following project:<br>\n<br>\nhttps://github.com/hakyimlab/MetaXcan/tree/master/papers/MultiXcan</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "The University of Chicago", 
      "@id": "https://orcid.org/0000-0002-9153-6120", 
      "@type": "Person", 
      "name": "Barbeira, Alvaro Numa"
    }
  ], 
  "url": "https://zenodo.org/record/1402226", 
  "datePublished": "2018-08-22", 
  "keywords": [
    "PrediXcan, S-PrediXcan, MetaXcan, MultiXcan, S-MultiXcan, Genomics, eQTL, GWAS"
  ], 
  "version": "1.0", 
  "contributor": [
    {
      "affiliation": "The University of Chicago", 
      "@type": "Person", 
      "name": "Pividori, Milton Dami\u00e1n"
    }, 
    {
      "affiliation": "The University of Chicago", 
      "@id": "https://orcid.org/0000-0003-0333-5685", 
      "@type": "Person", 
      "name": "Im, Hae Kyung"
    }
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/df446510-7267-4d59-8216-cd5cf5b47e8f/multixcan_paper_v1.0.tar.gz", 
      "encodingFormat": "gz", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.1402226", 
  "@id": "https://doi.org/10.5281/zenodo.1402226", 
  "@type": "Dataset", 
  "name": "Multixcan Paper Data"
}
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