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Titolo:
Clustering mutational spectra via classification likelihood and Markov chain Monte Carlo algorithms
Autore:
Medvedovic, M; Succop, P; Shukla, R; Dixon, K;
Indirizzi:
Univ Cincinnati, Med Ctr, Dept Environm Hlth, Cincinnati, OH 45267 USA Univ Cincinnati Cincinnati OH USA 45267 nm Hlth, Cincinnati, OH 45267 USA
Titolo Testata:
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
fascicolo: 1, volume: 6, anno: 2001,
pagine: 19 - 37
SICI:
1085-7117(200103)6:1<19:CMSVCL>2.0.ZU;2-H
Fonte:
ISI
Lingua:
ENG
Soggetto:
SHUTTLE VECTOR PLASMID; HUMAN-CELLS; XERODERMA-PIGMENTOSUM; MUTAGENIC SPECIFICITY; POINT MUTATIONS; 11,12-DIHYDRODIOL 13,14-EPOXIDE; 1,2-DIHYDRODIOL 3,4-EPOXIDE; SEQUENCE SPECIFICITY; MAMMALIAN-CELLS; MONKEY CELLS;
Keywords:
classification expectation maximization algorithm; cluster analysis; Gibbs sampling; multinomial distribution; stochastic expectation maximization algorithm;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
43
Recensione:
Indirizzi per estratti:
Indirizzo: Medvedovic, M Univ Cincinnati, Med Ctr, Dept Environm Hlth, 3223 Eden Ave,Cincinnati, OH 45267 USA Univ Cincinnati 3223 Eden Ave Cincinnati OH USA 45267 67 USA
Citazione:
M. Medvedovic et al., "Clustering mutational spectra via classification likelihood and Markov chain Monte Carlo algorithms", J AGRIC BIO, 6(1), 2001, pp. 19-37

Abstract

We have analyzed a set of 39 mutational spectra of the supF gene that weregenerated by different mutagenic agents and under different experimental conditions. The cluster analyses was performed using a newly developed clustering procedure. The clustering criterion used in the procedure was developed by applying the classification likelihood approach to multinomial observations. We also developed a Gibbs sampling-based optimization procedure that outperformed previously developed methods in a comparative simulation study. The results of the cluster analysis showed that our clustering procedure was able to recreate natural grouping of the mutational spectra with respect to the characteristics of mutagenic agents used to generate them and with respect to experimental conditions applied in the process of generating spectra. These results are an important confirmation of the relevance of mutational spectra in characterizing mutagenic mechanisms of different carcinogens.

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Documento generato il 25/01/20 alle ore 18:35:14