Chemical agnostic hazard prediction: Statistical inference of toxicity pathways - data for Figure 2
Description
This dataset comprises one SigmaPlot 13 file containing measured survival data and survival data predicted from the model coefficients selected by the LASSO procedure.
This dataset is associated with the following publication:
Ross, J., B. George, M. Bruno, and Y. Ge. Chemical-agnostic hazard prediction: statistical inference of in vitro toxicity pathways from proteomics responses to chemical mixtures. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 39-44, (2017).
Resources
| Name |
Format |
Description |
Link |
|
57 |
Data%20for%20Figure%20%202.zip |
https://pasteur.epa.gov/uploads/10.23719/1376218/Data%20for%20Figure%20%202.zip |
Tags
- mixtures
- model-predictions
- proteomics
- survival
- computational-toxicology
- in-vitro-assays
- toxicity-pathways