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    <responseDate>2026-10-14T12:05:32Z</responseDate>
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    <identifier>10.57760/sciencedb.xbyxb.0006g</identifier>
    <datestamp>2026-09-23T11:13:08Z</datestamp>
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  <dc:date>2026-09-23</dc:date>
  <dc:title>Supplementary materials for &amp;ldquo;Screening and validation of key targets for triclosan-associated intervertebral disc degeneration&amp;rdquo;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.xbyxb.0006g</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset serves as supplementary material for the paper &amp;quot;Screening of Key Molecular Targets for Triclosan-Induced Intervertebral Disc Degeneration and In Vivo Validation&amp;quot;, and it includes the performance evaluation results of the optimal random forest classification model. Specifically, it covers the performance comparison of 127 machine learning models, calibration curves, decision curve analysis, and learning curves, etc.</dc:description>
  <dc:subject>machine-learning; Calibration curve;  Decision curve</dc:subject>
  <dc:creator>Jiang Anqi</dc:creator>
  <dc:creator>Qin Baili</dc:creator>
  <dc:creator>Li Guanqi</dc:creator>
  <dc:creator>Liu Jieling</dc:creator>
  <dc:creator>Joseph</dc:creator>
  <dc:creator>Ding Zhiyu</dc:creator>
  <dc:creator>Sun Kaiqiang</dc:creator>
  <dc:creator>Li Jinsong</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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