Eric M. Gifford - researchr alias

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Viewing Publication 1 - 8 from 8

2020

Correction to Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P. Sheridan, Min Wang, Andy Liaw, Junshi Ma, Eric M. Gifford. jcisd, 60(3):1910, 2020. [doi]

2018

Automated Breast Cancer Image Classification Based on Integration of Noisy-And Model and Fully Connected NetworkChao-Hui Huang, Jens Brodbeck, Nena M. Dimaano, John Kang, Belma Dogdas, Douglas Rollins, Eric M. Gifford. iciar 2018: 923-930 [doi]

2016

Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P. Sheridan, Wei-min Wang, Andy Liaw, Junshui Ma, Eric M. Gifford. jcisd, 56(12):2353-2360, 2016. [doi]

2011

Comparing bioassay response and similarity ensemble approaches to probing protein pharmacologyBin Chen, Kevin J. McConnell, Nikil Wale, David J. Wild, Eric M. Gifford. bioinformatics, 27(21):3044-3049, 2011. [doi]

2000

Improved QSARs for Predictive Toxicology of Halogenated HydrocarbonsSteven Trohalaki, Eric M. Gifford, Ruth Pachter. CANDC, 24(3-4):421-427, 2000. [doi]

1998

Interactions between chlorinated dioxins and a positively charged molecular probe: New molecular interaction potentialJames R. Rabinowitz, Stephen B. Little, Eric M. Gifford. jcc, 19(6):673-684, 1998. [doi]

1992

Visualizing relative occurrences in metabolic transformations of xenobiotics using structure-activity mapsEric M. Gifford, Mark A. Johnson, David G. Kaiser, Chun Che Tsai. jcisd, 32(6):591-599, 1992. [doi]

1991

A graph-theoretic approach to modeling metabolic pathwaysEric M. Gifford, Mark A. Johnson, Chun Che Tsai. jcamd, 5(4):303-322, 1991. [doi]

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