CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning

• Yan Liu,

  Roles Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

  Affiliation Department of Computer Science, Yangzhou University, Yangzhou, China

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• Yu Xia,

  Roles Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft

  Affiliation Department of Computer Science, Yangzhou University, Yangzhou, China

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• He Yan,

  Roles Data curation, Formal analysis, Investigation, Methodology

  Affiliation College of Information Science and Technology & Artificial Intelligence, Nanjing Forestry University, Nanjing, P. R. China

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• Long-Chen Shen,

  Roles Data curation, Software

  Affiliation School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

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• Yiheng Zhu,

  Roles Formal analysis, Writing – review & editing

  Affiliation College of Artificial Inteligence, Nanjing Agricultural University, Nanjing, Jiangsu Province, China

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• Ji-Peng Qiang ,

  Roles Funding acquisition, Project administration, Supervision, Writing – review & editing

  * E-mail: jpqiang@yzu.edu.cn (J-PQ); weiguo@smail.nju.edu.cn (GW)

  Affiliation Department of Computer Science, Yangzhou University, Yangzhou, China

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• Guo Wei

  Roles Conceptualization, Funding acquisition, Resources, Supervision, Writing – review & editing

  * E-mail: jpqiang@yzu.edu.cn (J-PQ); weiguo@smail.nju.edu.cn (GW)

  Affiliation School of Life Sciences, Nanjing University, Nanjing, Jiangsu Province, China

  https://orcid.org/0000-0002-2525-1776

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