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Biology / Computational science / Genomics / Toxicogenomics / Pharmacology / Quantitative structure–activity relationship / Toxicity / Computational biology / Biostatistics / Toxicology / Science / Bioinformatics


The Carolina Environmental Bioinformatics Center Fred A. Wright, Rosann Farber, Alex Tropsha, Hao Zhu, Leonard McMillan, Ivan Rusyn The University of North Carolina at Chapel Hill U.S EPA, ORD, Computational Toxicology R
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Document Date: 2012-05-07 10:13:51


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File Size: 2,69 MB

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City

Toxicity Pathway / Seattle / Washington DC / /

Facility

Ivan Rusyn The University of North Carolina / Chapel Hill U.S EPA / EPA Campus / /

IndustryTerm

chemical descriptors / chemical prediction models / stand-alone software / chemical testing / important chemical descriptor data / •chemical toxicity prediction / model systems / model chemical structure / mining / technology platforms / web tools / chemical toxicology / graphical tools / computational tools / /

Organization

University of North Carolina / Carolina Environmental Bioinformatics Center / National Academy of Sciences / Environmental Protection Agency / Society of Toxicology / /

Person

Alex Tropsha / Hao Zhu / Leonard McMillan / Rosann Farber / /

Position

Fisher / /

ProvinceOrState

North Carolina / /

RadioStation

Fred / /

Technology

Genomics / Toxicogenomics / Bioinformatics / gene expression / machine learning / /

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