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
1 additional file

Additional files

All additional files

Any figure supplements, source code, source data, videos or supplementary files associated with this article are contained within this zip.

https://cdn.elifesciences.org/articles/60352/elife-60352-supp-v1.zip

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  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