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- Title
Discover regulatory DNA elements using chromatin signatures and artificial neural network.
- Authors
Firpi, Hiram A; Ucar, Duygu; Tan, Kai
- Abstract
Recent large-scale chromatin states mapping efforts have revealed characteristic chromatin modification signatures for various types of functional DNA elements. Given the important influence of chromatin states on gene regulation and the rapid accumulation of genome-wide chromatin modification data, there is a pressing need for computational methods to analyze these data in order to identify functional DNA elements. However, existing computational tools do not exploit data transformation and feature extraction as a means to achieve a more accurate prediction.
- Publication
Bioinformatics (Oxford, England), 2010, Vol 26, Issue 13, p1579
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btq248