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    <identifier>10.57760/sciencedb.07057</identifier>
    <datestamp>2023-01-06T09:32:04Z</datestamp>
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  <dc:date>2023-01-06</dc:date>
  <dc:title>Breast Cancer mutation dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.07057</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Breast cancer mutation data set: including 755 breast cancer patient samples, 1757 mutation genes, gene mutations in the data recorded as 1, no mutation recorded as 0. The data set can be used to predict the disease genes of breast cancer using multi-agent reinforcement learning method. The original data set was downloaded from the following web sites: https://portal. gdc.cancer.gov.</dc:description>
  <dc:subject>breast cancer; pathogenic genes prediction; multi-agent reinforcement learning</dc:subject>
  <dc:creator>Liu Jian</dc:creator>
  <dc:creator>Gu Yang</dc:creator>
  <dc:creator>Cheng Yuhu</dc:creator>
  <dc:creator>Wang Xuesong</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.16383/j.aas.c210583</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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