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ToxMiner Software Interface for Visualizing and Analyzing ToxCast Data
Citation:
MARTIN, M. T., L. TSAI, D. REIF, D. J. DIX, R. JUDSON, AND R. S. THOMAS. ToxMiner Software Interface for Visualizing and Analyzing ToxCast Data. Presented at Computational Toxicology Board of Scientific Counselors Review, RTP, NC, September 29 - 30, 2009.
Impact/Purpose:
The ToxCast dataset represents a collection of assays and endpoints that will require both standard statistical approaches as well as customized data analysis workflows. To analyze this unique dataset, we have developed an integrated database with Javabased interface called ToxMiner.
Description:
The ToxCast dataset represents a collection of assays and endpoints that will require both standard statistical approaches as well as customized data analysis workflows. To analyze this unique dataset, we have developed an integrated database with Javabased interface called ToxMiner. The software is organized around both chemical and assay centric visualization and analysis tools. Currently, these visualization and analysis tools include standard views of chemical and assay properties and results, the ability to define subsets of chemicals and assay results based on specified criteria, correlation matrices across assays, hierarchical clustering, and relative risk calculations. Machine learning algorithms have been added using Weka. The ToxMiner software and database will be made freely available. This work was reviewed by EPA and approved for publication but does not necessarily reflect official Agency policy.
URLs/Downloads:
ToxMiner Software Interface for Visualizing and Analyzing ToxCast Data (abs) (PDF, NA pp, 7 KB, about PDF)ToxMiner Software Interface for Visualizing and Analyzing ToxCast Data (poster) (PDF, NA pp, 2458 KB, about PDF)