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    <identifier>10.57760/sciencedb.22054</identifier>
    <datestamp>2025-03-14T10:25:23Z</datestamp>
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  <dc:date>2025-03-14</dc:date>
  <dc:title>Pretrained checkpoints of models by scCompass and CELLxGENE--scGPT</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.22054</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>	This project utilizes the&amp;nbsp;	scCompass and&amp;nbsp;CELLxGENE	&amp;nbsp;datasets with data scales of 100K, 200K, 500K, 1M, 2M, and 5M to pre-train model:&amp;nbsp;scGPT.&amp;nbsp;</dc:description>
  <dc:subject>checkpoint; single-cell; pretrain</dc:subject>
  <dc:creator>Pengfei Wang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://mit-license.org</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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