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

    Metadata Updated: November 12, 2020

    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).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1016/j.comtox.2017.03.001

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1376218
    Data Last Modified 2016-11-30
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 398fc8e0-2272-451a-8af3-764a12811e72
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:094
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.comtox.2017.03.001
    Source Datajson Identifier True
    Source Hash 896c2a3cbb444a5ad6f04145cc8bec3a945033c2
    Source Schema Version 1.1

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