Gene Expression Microarray Data Analysis for Toxicology Profiling

: When dealing with thousands of genes, all potentially interesting, it is desirable to rank the genes according to their degree of participation in a physiological process. Therefore, genes with the highest Shannon entropy and ERL can be selected as the best toxicity target candidates, permitting p...

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Veröffentlicht in:Annals of the New York Academy of Sciences Jg. 919; H. 1; S. 52 - 67
Hauptverfasser: CUNNINGHAM, M. J., LIANG, S., FURMAN, S., SEILHAMER, J. J., SOMOGYI, R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.09.2000
Schlagworte:
Acetaminophen - pharmacology
Animals
Benzo(a)pyrene - pharmacology
Clofibrate - pharmacology
Drug-Related Side Effects and Adverse Reactions - genetics
Entropy
Gene Expression - drug effects
Gene Expression Profiling
Liver - drug effects
Liver - metabolism
Liver - pathology
Male
Oligonucleotide Array Sequence Analysis
Organ Size - drug effects
Rats
Rats, Sprague-Dawley
RNA, Messenger - analysis
RNA, Messenger - genetics
Toxicity Tests - methods
ISSN:0077-8923, 1749-6632
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:: When dealing with thousands of genes, all potentially interesting, it is desirable to rank the genes according to their degree of participation in a physiological process. Therefore, genes with the highest Shannon entropy and ERL can be selected as the best toxicity target candidates, permitting preclinical scientists to focus their research and resources on those genes.
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content type line 23
ISSN:0077-8923
1749-6632
DOI:10.1111/j.1749-6632.2000.tb06867.x