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Immune-related biomarkers predict the prognosis and immune response of breast cancer based on bioinformatic analysis and machine learning.
Zheng, Xuewei; Ma, Haodi; Dong, Yirui; Fang, Mengmiao; Wang, Junxiang; Xiong, Xin; Liang, Jing; Han, Meng; You, Aimin; Yin, Qinan; Huang, Wenbin.
Affiliation
  • Zheng X; School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
  • Ma H; School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
  • Dong Y; School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
  • Fang M; School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
  • Wang J; School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China.
  • Xiong X; Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Liang J; The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
  • Han M; School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
  • You A; The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
  • Yin Q; School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China. qinanyin@haust.edu.cn.
  • Huang W; The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China. wbhuang348912@126.com.
Funct Integr Genomics ; 23(3): 201, 2023 Jun 08.
Article in En | MEDLINE | ID: mdl-37291471
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Funct Integr Genomics Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Funct Integr Genomics Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania