Published November 1, 2018
| Version revised after peer review
Software
Open
Data and code for: Caglar et al., Predicting bacterial growth conditions from mRNA and protein abundances. PLOS ONE 2018
Authors/Creators
- 1. The University of Texas at Austin
Description
This release contains the data and code as published, after peer review.
Files
clauswilke/ecoli_learning_bacterial_response_optimization-1-revision.zip
Additional details
Related works
- Is supplement to
- https://github.com/clauswilke/ecoli_learning_bacterial_response_optimization-1/tree/revision (URL)
- 10.1101/353433 (DOI)