SpaMOAL is a deep learning method that enables accurate spatial domain identification from multi-omics data

• Jinxia Wang ,

  Contributed equally to this work with: Jinxia Wang, Yuying Huo

  Roles Formal analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

  Affiliation School of Software Engineering, Beijing Jiaotong University, Beijing, China

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• Yuying Huo ,

  Contributed equally to this work with: Jinxia Wang, Yuying Huo

  Roles Formal analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

  Affiliation Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China

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• Rui Zhao,

  Roles Validation, Visualization, Writing – review & editing

  Affiliation School of Software Engineering, Beijing Jiaotong University, Beijing, China

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• Yan Pan,

  Roles Formal analysis, Validation, Writing – review & editing

  Affiliation School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China

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• Jianqiang Wu,

  Roles Formal analysis, Validation, Writing – review & editing

  Affiliation National Infrastructure for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

  https://orcid.org/0000-0001-6773-9289

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• Han Wang,

  Roles Validation, Writing – review & editing

  Affiliation College of Science, China Agricultural University, Beijing, China

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• Xiangyu Li

  Roles Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: lixiangyu@bjtu.edu.cn

  Affiliation School of Software Engineering, Beijing Jiaotong University, Beijing, China

  https://orcid.org/0000-0002-6017-0701

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