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12
of 12 records from [ORD-NRMRL] published between 08/17/2012 and 08/17/2017 from author Todd Martin
2017
Martin, T. A framework for an alternatives assessment dashboard for evaluating chemical alternatives applied to flame retardants for electronic applications. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, 19(4):1067-1086, (2017). https://doi.org/10.1007/s10098-016-1300-2
Martin, T. Generation of Alternative Assessment Scores using TEST and online data sources. 253rd A,merican Chemical Society National Meeting, San Francisco, CA, April 02 - 06, 2017.
Martin, T. Generation of GHS Scores from TEST and online sources. Topics on Data Mining and QSPR: Theory, Applications, and Publishing Conference, Mexico CityM, June 18 - 21, 2017.
Martin, T. Overview of T.E.S.T. (Toxicity Estimation Software Tool). Topics on Data Mining and QSPR: theory, applications, and publishing, Mexico CityM, June 18 - 21, 2017.
Martin, T., C. Lilavois, AND M. Barron. Prediction of pesticide acute toxicity using two-dimensional chemical descriptors and target species classification. SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, 28(6):525-539, (2017). https://doi.org/10.1080/1062936X.2017.1343204
2016
Martin, T. Prediction of in vitro and in vivo oestrogen receptor activity using hierarchical clustering. SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, 27(1):17-30, (2016).
Martin, T. Toxicity Estimation Software Tool (TEST). U.S. Environmental Protection Agency, Washington, DC, 2016.
Martin, T. User’s Guide for T.E.S.T. (version 4.2) (Toxicity Estimation Software Tool) A Program to Estimate Toxicity from Molecular Structure. U.S. EPA Office of Research and Development, Washington, DC, EPA/600/R-16/058, 2016.
2015
Martin, T., D. Young, CrystalR Jackson, AND M. Barron. Comparison of Global and Mode of Action-Based Models for Aquatic Toxicity. Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 26(3):245-262, (2015).
2014
Benfenati, E., S. Pardoe, AND T. Martin. Using Toxicological Evidence from QSAR Models in Practice. ALTEX. Society ALTEX Edition, Kuesnacht, Switzerland, , 01-40, (2013).
2013
Martin, T. M., Chris M. Grulke, D. M. Young, C. L. Russom, N. Y. Wang, C. R. Jackson, AND M. G. Barron. Prediction of aquatic toxicity mode of action using linear discriminant and random forest models. Journal of Chemical Information and Modeling. ACS Publications, Washington, DC, 53(9):2229-2239, (2013).
2012
Martin, T. M., P. Harten, D. M. Young, E. N. Muratov, A. Golbraikh, H. Zhu, AND A. Tropsha. Does Rational Selection of Training and Test Sets Improve the Outcome of QSAR Modeling? Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 52(10):2570-2578, (2012).