Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization
作者: Lin WangXiaozhong LiLouxin ZhangQiang Gao
作者单位: 1Tianjin University of Science and Technology
2National University of Singapore
刊名: BMC Cancer, 2017, Vol.17 (1)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12885-017-3500-5
关键词: Anticancer drug response predictionMatrix factorizationPrecision cancer medicinesDrug repositioning
原始语种摘要: Human cancer cell lines are used in research to study the biology of cancer and to test cancer treatments. Recently there are already some large panels of several hundred human cancer cell lines which are characterized with genomic and pharmacological data. The ability to predict drug responses using these pharmacogenomics data can facilitate the development of precision cancer medicines. Although several methods have been developed to address the drug response prediction, there are many challenges in obtaining accurate prediction.
全文获取路径: Springer Nature  (合作)
影响因子:3.333 (2012)

  • factorization 因式分解
  • regularization 正则化
  • prediction 预报
  • similarity 相似性
  • lines 线型
  • accurate 精确的
  • response 响应
  • human 人的
  • anticancer 抗癌的
  • there 那里