GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure

• Hoyeon Jeong,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Biostatistics, Yonsei University, Wonju, Gangwon State, Republic of Korea

  https://orcid.org/0000-0001-6812-9343

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• Young-Rae Cho,

  Roles Supervision, Validation, Writing – review & editing

  Affiliation Division of Software, Yonsei University Mirae Campus, Wonju, Gangwon State, Republic of Korea

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• Jungsoo Gim,

  Roles Supervision, Validation, Writing – review & editing

  Affiliation Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea

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• Seung-Kuy Cha,

  Roles Supervision, Validation, Writing – review & editing

  Affiliation Department of Physiology, Yonsei University Wonju College of Medicine, Wonju, Gangwon State, Republic of Korea

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• Maengsup Kim,

  Roles Supervision, Validation, Writing – review & editing

  Affiliation Research Center, Mustbio, Suwon-si, Gyeonggi-do, Republic of Korea

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• Dae Ryong Kang

  Roles Project administration, Supervision, Validation, Writing – review & editing

  * E-mail: dr.kang@yonsei.ac.kr

  Affiliations Department of Biostatistics, Yonsei University, Wonju, Gangwon State, Republic of Korea, Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju, Gangwon State, Republic of Korea

  https://orcid.org/0000-0002-8792-9730

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