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A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model

BACKGROUND: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also reduce the need for animal testing. Several public efforts are aimed at discovering patterns or classifiers in high-dimens...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Judson, Richard, Elloumi, Fathi, Setzer, R Woodrow, Li, Zhen, Shah, Imran
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2008
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2409339/
https://ncbi.nlm.nih.gov/pubmed/18489778
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-241
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