A framework for personalized medicine: prediction of drug sensitivity in cancer by proteomic profiling

被引：0
|
作者：
Dong-Chul Kim
Xiaoyu Wang
Chin-Rang Yang
Jean X Gao
机构：
[1] The University of Texas at Arlington,Department of Computer Science and Engineering
[2] The University of Texas Southwestern Medical Center,Simmons Comprehensive Cancer Center
来源：
Proteome Science | / 10卷
关键词：
Bayesian Network; Random Forest; Personalized Medicine; Drug Sensitivity; Class Variable;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Cancer Precision Medicine: From Cancer Screening to Drug Selection and Personalized Immunotherapy
    Deng, Xiaolan
    Nakamura, Yusuke
    TRENDS IN PHARMACOLOGICAL SCIENCES, 2017, 38 (01) : 15 - 24
  • [42] Molecular Profiling and Ways Towards Personalized Medicine in Advanced Differentiated Thyroid Cancer
    Antonelli, Alessandro
    CURRENT GENOMICS, 2014, 15 (03) : 161 - 161
  • [43] Proteomic profiling of drug actions and effects
    Jordan, Bill
    PROTEOMICS CLINICAL APPLICATIONS, 2009, 3 (04) : 409 - 410
  • [44] Personalized Cancer Medicine
    Marme, Dieter
    Hallek, Michael
    ONKOLOGIE, 2012, 35 : 2 - 2
  • [45] Personalized Medicine and Cancer
    Verma, Mukesh
    JOURNAL OF PERSONALIZED MEDICINE, 2012, 2 (01): : 1 - 14
  • [46] DrugMoaMiner: A computational tool for mechanism of action discovery and personalized drug sensitivity prediction
    Li, Fuhai
    Wang, Lin
    Kong, Ren
    Sheng, Jianting
    Cao, Huojun
    Mancuso, James
    Xia, Xiaofeng
    Stephan, Clifford
    Wong, Stephen T. C.
    2016 3RD IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS, 2016, : 368 - 371
  • [47] Implementing a preimplantation proteomic approach to advance assisted reproduction technologies in the framework of predictive, preventive, and personalized medicine
    Kanaka, Vasiliki
    Proikakis, Stavros
    Drakakis, Petros
    Loutradis, Dimitrios
    Tsangaris, George Th
    EPMA JOURNAL, 2022, 13 (02): : 237 - 260
  • [48] Implementing a preimplantation proteomic approach to advance assisted reproduction technologies in the framework of predictive, preventive, and personalized medicine
    Vasiliki Kanaka
    Stavros Proikakis
    Petros Drakakis
    Dimitrios Loutradis
    George Th. Tsangaris
    EPMA Journal, 2022, 13 : 237 - 260
  • [49] A MULTIVARIATE RANDOM FOREST BASED FRAMEWORK FOR DRUG SENSITIVITY PREDICTION
    Wan, Qian
    Pal, Ranadip
    2013 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS 2013), 2013, : 53 - 53
  • [50] Proteomic approach for tumor marker development for personalized medicine
    Kondo, T.
    Okano, T.
    Suehara, Y.
    Fujii, K.
    Nishimura, T.
    Hirohashi, S.
    MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (08) : S115 - S115
12345