1. Computational and Systems Biology

A statistical framework for assessing pharmacological response and biomarkers using uncertainty estimates

  1. Dennis Wang  Is a corresponding author
  2. James Hensman
  3. Ginte Kutkaite
  4. Tzen S Toh
  5. Ana Claudia Paulo Galhoz
  6. Jonathan R Dry
  7. Julio Saez-Rodriguez
  8. Mathew J Garnett
  9. Michael P Menden  Is a corresponding author
  10. Frank Dondelinger  Is a corresponding author
  1. University of Sheffield, United Kingdom
  2. PROWLER.io, United Kingdom
  3. Helmholtz Zentrum Muenchen, Germany
  4. AstraZeneca, United States
  5. Heidelberg University, Germany
  6. Wellcome Sanger Institute, United Kingdom
  7. Helmholtz Zentrum München, Germany
  8. Lancaster University, United Kingdom
https://doi.org/10.7554/eLife.60352
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  1. Dennis Wang
  2. James Hensman
  3. Ginte Kutkaite
  4. Tzen S Toh
  5. Ana Claudia Paulo Galhoz
  6. Jonathan R Dry
  7. Julio Saez-Rodriguez
  8. Mathew J Garnett
  9. Michael P Menden
  10. Frank Dondelinger
(2020)
A statistical framework for assessing pharmacological response and biomarkers using uncertainty estimates
eLife 9:e60352.
https://doi.org/10.7554/eLife.60352
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  2. Accepted Manuscript updated
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  1. Dennis Wang
  2. James Hensman
  3. Ginte Kutkaite
  4. Tzen S Toh
  5. Ana Claudia Paulo Galhoz
  6. Jonathan R Dry
  7. Julio Saez-Rodriguez
  8. Mathew J Garnett
  9. Michael P Menden
  10. Frank Dondelinger
(2020)
A statistical framework for assessing pharmacological response and biomarkers using uncertainty estimates
eLife 9:e60352.
https://doi.org/10.7554/eLife.60352

Share this article

https://doi.org/10.7554/eLife.60352