Risk-averse optimization of genetic circuits under uncertainty - Data

Title: Data, code and plotting scripts for "Risk-averse optimization of genetic circuits under uncertainty"

Description:
This repository contains the data and plotting scripts for the paper “Risk-averse optimization of genetic circuits under uncertainty” by Michal Kobiela, Diego A. Oyarzún, and Michael U. Gutmann.

The repository includes:

• Posterior samples and Thompson samples and loss distribution evaluations from all case studies

• (Exemplar) Designs predictive evaluations

• Scripts for generating all plots presented in the paper

• Other files neccesary to reproduce the research e.g. MCMC chains saved as julia objects
  
  
• Code used for generating all the data

Structure:
The repository is organized into subfolders for each case study (RPA, Repressilator, Host-Aware Repressilator), further organised by data, JLS files (Julia saved objects), and plotting notebooks. Readme file has detailed tree of all the files with explonations.

Licence:
CC-BY 4.0
Please cite this dataset if you use it in your work.

This work was supported by the United Kingdom Research and Innovation (grant EP/S02431X/1), UKRI Centre for Doctoral Training in Biomedical AI at the University of Edinburgh, School of Informatics. For the purpose of open access, the author has applied a creative commons attribution (CC BY) licence to any author accepted manuscript version arising.