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Code for Predicting MIEs from Gene Expression and Chemical Target Labels with Machine Learning (MIEML)

Metadata Updated: April 21, 2022

Modeling data and analysis scripts generated during the current study are available in the github repository: RefChemDB is available for download as supplemental material from its original publication (PMID: 30570668). LINCS gene expression data are publicly available and accessible through the gene expression omnibus (GSE92742 and GSE70138) at .

This dataset is associated with the following publication: Bundy, J., R. Judson, A. Williams, C. Grulke, I. Shah, and L. Everett. Predicting Molecular Initiating Events Using Chemical Target Annotations and Gene Expression. BioData Mining. BioMed Central Ltd, London, UK, issue}: 7, (2022).

Access & Use Information

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

Downloads & Resources



Metadata Created Date April 21, 2022
Metadata Updated Date April 21, 2022

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date April 21, 2022
Metadata Updated Date April 21, 2022
Publisher U.S. EPA Office of Research and Development (ORD)
Data Last Modified 2022-03-02
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id 41004069-0fff-4a98-a8b4-ea3286fa8ec6
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents
Source Datajson Identifier True
Source Hash c084309a47eb3d21f539b32704e7425771620d26
Source Schema Version 1.1

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