Machine learning for the identification of neoantigen-reactive CD8 + T cells in gastrointestinal cancer using single-cell sequencing.

Abstract

Authors

• Hongwei Sun
  The First Affiliated Hospital of Wenzhou Medical University, 325015, Wenzhou, PR China.
• Xiao Han
  College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University Jinan 250014 China cyzhang@sdnu.edu.cn.
• Zhengliang Du
  Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• Geer Chen
  Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• Tonglei Guo
  Data and Analysis Center for Genetic Diseases, Beijing Chigene Translational Medicine Research Center Co, Ltd, Tongzhou District, Beijing, China.
• Fei Xie
  Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China.
• Weiyue Gu
  Data and Analysis Center for Genetic Diseases, Beijing Chigene Translational Medicine Research Center Co, Ltd, Tongzhou District, Beijing, China.
• Zhiwen Shi
  Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.

Keywords

External Resources