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Article Dans Une Revue Journal of the Royal Statistical Society: Series C Applied Statistics Année : 2002

A compound Poisson model for words occurrences in DNA sequences

Résumé

We present a compound Poisson model describing the occurrence process of a set of words in a random sequence of letters. The model takes into account the frequency of the words and their overlapping structure. The model is compared with a Markov chain model in terms of fit and parsimony. Special attention is given to the detection of poor or rich regions. Several applications of the model are presented and a combination of the Markov and compound Poisson models is proposed.

Dates et versions

hal-01222434 , version 1 (29-10-2015)

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Citer

Stephane Robin. A compound Poisson model for words occurrences in DNA sequences. Journal of the Royal Statistical Society: Series C Applied Statistics, 2002, 51 (4), pp.437-451. ⟨10.1111/1467-9876.00279⟩. ⟨hal-01222434⟩
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