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Editorial

Editorial collaborators ( Journal of Agricultural, Biological, and Environmental Statistics , Volume 6 , Issue 1 )

An illustrated review of some farmer participatory research techniques

Clustering mutational spectra via classification likelihood and markov chain monte carlo algorithms

Modeling of changes in tumor burden

Bootstrap model selection in generalized linear models

Variable selection and the interpretation of principal subspaces

Modeling juvenile salmon migration using A simple markov chain

A design-based approach to the estimation of plant density using point-to-plant sampling

Nonlinear regression for modeling censored one-dimensional concentration profiles of fugitive dust plumes

Analysis of spatial point patterns using bundles of product density LISA functions

Clustering mutational spectra via classification likelihood and markov chain monte carlo algorithms

Content Provider	Springer Nature Link
Author	Medvedovic, Mario Succop, Paul Shukla, Rakesh Dixon, Kathleen
Copyright Year	2001
Abstract	We have analyzed a set of 39 mutational spectra of the supF gene that were generated by different mutagenicagents and under different experimental conditions. The clusteranalyses 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.
Starting Page	19
Ending Page	37
Page Count	19
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	6
Issue Number	1
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Classification expectation maximization algorithm Cluster analysis Gibbs sampling Multinomial distribution Stochastic expectation maximization algorithm Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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Clustering mutational spectra via classification likelihood and markov chain monte carlo algorithms (2001).

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Clustering mutational spectra via classification likelihood and markov chain monte carlo algorithms

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