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Chemical agnostic hazard prediction: Statistical inference of toxicity pathways - data for Figure 2
L o a d i n g
Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updatedover 2 years ago
Format
Overview

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).

computational toxicologyin vitro assaysmixturesmodel predictionsproteomicssurvivaltoxicity pathways
Additional Information
KeyValue
Dcat Modified2016-11-30
Dcat Publisher NameU.S. EPA Office of Research and Development (ORD)
Guidhttps://doi.org/10.23719/1376218
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  • 167713a9-980f-40a0-acd0-bc2d209b5dd7