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    <responseDate>2026-10-14T17:32:22Z</responseDate>
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    <identifier>10.57760/sciencedb.29121</identifier>
    <datestamp>2026-03-13T17:55:40Z</datestamp>
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  <dc:date>2026-03-13</dc:date>
  <dc:title>Multi-Omics Integration for Cancer Risk Assessment Across 21 Cancer Types: A Large-Scale UK Biobank Study</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.29121</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This project provides supplementary tables associated with a large-scale multi-omics cancer susceptibility study across 21 cancer types. The underlying UK Biobank data (application no. 96511) are subject to access restrictions. Access to the UK Biobank data can be requested through their standard application process available on their website (https://www.ukbiobank.ac.uk/register-apply/).</dc:description>
  <dc:subject>cancer risk prediction; multi-omics; proteomics; GWAS; UK Biobank; pan-cancer; machine learning</dc:subject>
  <dc:creator>Dan Shen</dc:creator>
  <dc:creator>Chen Ding</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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