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Inferring time-dependent population growth rates in cell cultures undergoing adaptation.

H Jonathan G LindströmRan Friedman
Published in: BMC bioinformatics (2020)
For experiments where adaptation is expected to occur over a longer time, our method provides a means of tracking growth rates using data that is normally collected anyhow for monitoring purposes. The program and its documentation are freely available at https://github.com/Sandalmoth/ratrack under the permissive zlib license.
Keyphrases
  • electronic health record
  • quality improvement
  • stem cells
  • machine learning
  • deep learning