@inproceedings{ebe86b30525e405c80f60cbeed7da84c,
title = "Predicting regulatory elements in repetitive sequences using transcription factor binding sites",
abstract = "Repeat sequences are the most abundant ones in the extragenic region of genomes. Biologists have already found a large number of regulatory elements in this region. These elements may profoundly impact the chromatin structure formation in nucleus and also contain important clues in gemetic evolution and phylogeny study. This study attempts to mine rules on how combinations of individual binding sites are distributed repeat sequences. The association rules mined would facilitate efforts to identify gene classes regulated by similar mechanisms and accurately predict regulatory elements. Herein, the combinations of transcription factor binding sites in the repeat sequences are obtained and, then, data mining techniques are applied to mine the association rules from the combination of binding sites. In addition, the discovered associations are further proned to remove those insignificant associations and obtain a set of discovered associations. Finally, the discovered association rules are used to partially classify the repeat sequences in our repeat database. Experiments on several genomes include C.Elegans, Human Chromosome 22, and Yeast.",
author = "Horng, {Jorng Tzong} and Cho, {Wen Fu} and Kao, {Cheng Yan}",
year = "2001",
language = "???core.languages.en_GB???",
isbn = "0970789009",
series = "Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technolgoy, CBGIST 2001",
pages = "215--219",
editor = "C.H. Wu and P.P. Wang and J.T.L. Wang",
booktitle = "Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, CBGIST 2001",
note = "Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, GBGIST 2001 ; Conference date: 15-03-2001 Through 17-03-2001",
}