Output details
11 - Computer Science and Informatics
University of Exeter
Return to search
Output 0 of 0 in the submission
Article title
A genetic programming approach for Burkholderia Pseudomallei diagnostic pattern discovery
Type
D - Journal article
Title of journal
Bioinformatics
Article number
-
Volume number
25
Issue number
17
First page of article
2256
ISSN of journal
1460-2059
Year of publication
2009
URL
-
Number of additional authors
4
Additional information
<28> This article appears in the premier journal for bioinformatics methods. I analysed the data, designed, implemented and tested the algorithm. I analysed the results and wrote the paper. Because the data was very noisy, it was difficult to use conventional approaches to identify the biomarker. I then categorised the data to apply genetic programming techniques to search for biomarkers. This is the first time that genetic programming was applied in this field. The result was validated in the wet laboratory with success.
Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Artificial Intelligence
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
