Application of machine learning to large in vitro databases to identify drug–cancer cell interactions: azithromycin and KLK6 mutation status

  • Jeff Sherman
  • , Grant Verstandig
  • , John W. Rowe
  • , Yisroel Brumer

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Fingerprint

Dive into the research topics of 'Application of machine learning to large in vitro databases to identify drug–cancer cell interactions: azithromycin and KLK6 mutation status'. Together they form a unique fingerprint.

Keyphrases

Medicine and Dentistry

Neuroscience

Immunology and Microbiology

Biochemistry, Genetics and Molecular Biology

Pharmacology, Toxicology and Pharmaceutical Science