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A random forest-based metabolic risk model to assess the prognosis and metabolism-related drug targets in ovarian cancer.
Zhang, Haoxin; Chi, Meng; Su, Dongqing; Xiong, Yuqiang; Wei, Haodong; Yu, Yao; Zuo, Yongchun; Yang, Lei.
Affiliation
  • Zhang H; Department of Gastrointestinal Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
  • Chi M; Department of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
  • Su D; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Xiong Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Wei H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Yu Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Zuo Y; The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China; Digital College, Inner Mongolia Intelligent Union Big Data Academy, Inner Mongolia Wesure Date Technology Co., Ltd, Hohhot, 010010, Chi
  • Yang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. Electronic address: leiyang@hrbmu.edu.cn.
Comput Biol Med ; 153: 106432, 2023 02.
Article in En | MEDLINE | ID: mdl-36608460
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Random Forest Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Random Forest Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: Country of publication: