Promoter prediction using physico-chemical properties of DNA
chapter
posted on 2023-05-28, 01:06 authored by Uren, PJ, Cameron-Jones, RM, Sale, AHJThe ability to locate promoters within a section of DNA is known to be a very difficult and very important task in DNA analysis. We document an approach that incorporates the concept of DNA as a complex molecule using several models of its physico-chemical properties. A support vector machine is trained to recognise promoters by their distinctive physical and chemical properties. We demonstrate that by combining models, we can improve upon the classification accuracy obtained with a single model. We also show that by examining how the predictive accuracy of these properties varies over the promoter, we can reduce the number of attributes needed. Finally, we apply this method to a real-world problem. The results demonstrate that such an approach has significant merit in its own right. Furthermore, they suggest better results from a planned combined approach to promoter prediction using both physicochemical and sequence based techniques.
History
Publication title
Computational Life Sciences IISeries
Lecture Notes in BioinformaticsNumber
4216Pagination
21-31ISBN
978-3-540-45767-1Publisher
Springer-Verlag: Lecture Notes in Computer SciencePublication status
- Published
Place of publication
Berlin; New YorkEvent title
The 2nd International Symposium on Computational Life ScienceEvent Venue
Cambridge, UKDate of Event (Start Date)
2006-09-27Date of Event (End Date)
2006-09-29Rights statement
The original publication is available at www.springerlink.comRepository Status
- Open