Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.

Journal: BMC bioinformatics
Published Date: Jan 11, 2016

Abstract

BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of death globally, and research into NSCLC has been accumulating steadily over several years. Drug repositioning is the current trend in the pharmaceutical industry for identifying potential new uses for existing drugs and accelerating the development process of drugs, as well as reducing side effects.

Authors

  • Chien-Hung Huang
    Department of Computer Science and Information Engineering, National Formosa University, 64 Wen-Hwa Road, Huwei, Yunlin 63205, Taiwan.
  • Peter Mu-Hsin Chang
    Division of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital; Faculty of Medicine, National Yang Ming University, Taipei, 112, Taiwan. ptchang@vghtpe.gov.tw.
  • Chia-Wei Hsu
    Department of Computer Science and Information Engineering, National Formosa University, Hu-Wei, 63205, Taiwan. 10163138@gm.nfu.edu.tw.
  • Chi-Ying F Huang
    Institute of Biopharmaceutical Sciences, National Yang-Ming University, Taipei, 112, Taiwan. cyhuang5@ym.edu.tw.
  • Ka-Lok Ng
    Department of Biomedical Informatics, Asia University, Wufeng Shiang, Taichung 41354, Taiwan ; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan.

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