Enhancing Hit Identification in Mycobacterium tuberculosis Drug Discovery Using Validated Dual-Event Bayesian Models

  • Sean Ekins, Robert C. Reynolds, Scott G. Franzblau, Baojie Wan, Joel S. Freundlich, Barry A. Bunin
  • PLoS ONE, May 2013, Public Library of Science (PLoS)
  • DOI: 10.1371/journal.pone.0063240

combining TB activity and cytotoxicity data for machine learning

What is it about?

The second paper in a series looking at models built with whole cell and cytotoxicity data for TB. The models were externally validated.

Why is it important?

Refining machine learning models to include the cytotoxicity data enables improved predictions - 2 in 1 models. The external validation of these models is also described. This was the 2nd of 3 papers in a series to show these models.

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The following have contributed to this page: Dr Sean Ekins and Joel Freundlich