Computational inference of cancer-specific vulnerabilities in clinical samples.

Journal: Genome biology
PMID:

Abstract

BACKGROUND: Systematic in vitro loss-of-function screens provide valuable resources that can facilitate the discovery of drugs targeting cancer vulnerabilities.

Authors

  • Kiwon Jang
    Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.
  • Min Ji Park
    Department of Biomedical Sciences, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Republic of Korea.
  • Jae Soon Park
    Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.
  • Haeun Hwangbo
    Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.
  • Min Kyung Sung
    Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Republic of Korea.
  • Sinae Kim
    Department of Biostatistics, Rutgers School of Public Health, The State University of New Jersey, New Brunswick, NJ, USA.
  • Jaeyun Jung
    Department of Biomedical Sciences, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Republic of Korea.
  • Jong Won Lee
    Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Republic of Korea.
  • Sei-Hyun Ahn
    Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Republic of Korea.
  • Suhwan Chang
    Department of Biomedical Sciences, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Republic of Korea. suhwan.chang@amc.seoul.kr.
  • Jung Kyoon Choi
    Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Republic of Korea.