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      <dc:title>Response to the letter ‘testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis’</dc:title>
      <dc:creator>Toro-Dominguez, Daniel</dc:creator>
      <dc:creator>Martorell Marugán, Jordi</dc:creator>
      <dc:creator>Martínez Bueno, Manuel</dc:creator>
      <dc:creator>López Domínguez, Raúl</dc:creator>
      <dc:creator>Carnero Montoro, Elena</dc:creator>
      <dc:creator>Barturen, Guillermo</dc:creator>
      <dc:creator>Goldman, Daniel</dc:creator>
      <dc:creator>Petri, Michelle</dc:creator>
      <dc:creator>Carmona Sáez, Pedro</dc:creator>
      <dc:creator>Alarcón Riquelme, Marta Eugenia</dc:creator>
      <dc:subject>Systemic lupus erythematosus</dc:subject>
      <dc:subject>Machine learning</dc:subject>
      <dc:subject>Transcriptomics</dc:subject>
      <dc:date>2024-06-18T11:24:33Z</dc:date>
      <dc:date>2024-06-18T11:24:33Z</dc:date>
      <dc:date>2023-12-11</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Daniel Toro-Domínguez, Jordi Martorell-Marugán, Manuel Martinez-Bueno, Raúl López-Domínguez, Elena Carnero-Montoro, Guillermo Barturen, Daniel Goldman, Michelle Petri, Pedro Carmona-Sáez, Marta E Alarcón-Riquelme, Response to the letter ‘testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis’, Briefings in Bioinformatics, Volume 25, Issue 1, January 2024, bbad454, https://doi.org/10.1093/bib/bbad454</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/92676</dc:identifier>
      <dc:identifier>10.1093/bib/bbad454</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>Oxford University Press</dc:publisher>
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