@inproceedings{a4cbf4bd682c44ad97b5a78959282d8c,
title = "Evaluating the Significance of Sequence Motifs by the Minimum Description Length Principle",
abstract = "Sdiscover is a tool capable of finding subsequences, possibly separated by arbitrarily long gaps, in a set of sequences. These subsequences are referred to as motifs. This paper proposes a method to evaluate the significance of the sequence motifs found by Sdiscover. The method is based on the minimum description length principle and Shannon's coding theory. The equivalence of the proposed method to the Bayesian inference is also discussed.",
author = "Qicheng Ma and Wang, {Jason T.L.}",
year = "2000",
language = "English (US)",
isbn = "0964345692",
series = "Proceedings of the Joint Conference on Information Sciences",
number = "2",
pages = "798--801",
editor = "P.P. Wang and P.P. Wang",
booktitle = "Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2",
edition = "2",
note = "Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 ; Conference date: 27-02-2000 Through 03-03-2000",
}