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A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery.

A. S. M. Zisanur RahmanChengyou LiuHunter SturmAndrew M. HoganRebecca DavisPingzhao HuSilvia T. Cardona
Published in: PLoS Comput. Biol. (2022)
Keyphrases
  • high throughput
  • machine learning
  • computational model
  • systems biology
  • drug discovery
  • data sets
  • databases
  • network model
  • hit rate
  • real time
  • feature selection
  • microarray
  • biological data