Chemical agnostic hazard prediction: Statistical inference of toxicity pathways - data for Figure 2

OwnerUnited State Environmental Protection Agency - view all

Update frequencyunknown

Last updatedabout 1 year 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 toxicology in vitro assays mixtures model predictions proteomics survival toxicity 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

ib1_trust_framework[]

language

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