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An MML Classification of Protein Structure that knows about Angles and Sequence

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by T. Edgoose , L. Allison , D. L. Dowe
Citations:9 - 4 self
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BibTeX

@MISC{Edgoose_anmml,
    author = {T. Edgoose and L. Allison and D. L. Dowe},
    title = {An MML Classification of Protein Structure that knows about Angles and Sequence},
    year = {}
}

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Abstract

this paper we apply a Hidden Markov Model to model the structure of a collection of known proteins. This Markov classi#cation is able to take advantage of information implicit in the order of a sequence of observations and hence is better suited to modelling protein data than a classi#cation model that assumes independence between observations. We use an Minimum Message Length #MML# information measure to evaluate our protein structure model which enables us to #nd the model best supported by the known evidence

Citations

173 Estimation and inference by compact coding - CS, PR - 1987
107 Statistical Analysis of Circular Data - Fisher - 1993
59 Solovyev V: Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments - Salamov - 1995
20 Principles of Protein Structure - Schultz, Schirmer - 1979
17 1993]: ‘MML estimation of the von Mises concentration parameter - Wallace, Dowe
15 An information measure for classi cation - Wallace, Boulton - 1968
13 Circular clustering of protein dihedral angles by minimum message length - Dowe, Allison, et al. - 1996
8 MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions - Wallace, Dowe - 2000
4 Autoclass II conceptual clustering system - Cheeseman - 1988
3 Bayesian classi cation on protein structure - Hunter, States - 1992
3 Classi cation by minimum length inference - Wallace - 1990
2 Mixture modelling of sequential datasets - Edgoose, Allison
1 Bayesian classi#cation on protein structure - Hunter, States - 1992
1 Classi#cation by minimum length inference - Wallace - 1990
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