Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/13267| Title: | Artificial immune systems applications in cancer research |
| Authors: | Al-Enezi, J Abbod, MF Al-Sharhan, S |
| Keywords: | Negative selection;Artificial immune systems;Artificial immune networks;Clonal selection |
| Issue Date: | 2011 |
| Citation: | Proceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011, 2011, pp. 168 - 171 |
| Abstract: | Artificial Immune System (AIS) is a branch of computational intelligence that has gained increasing interest among researchers in the development of immune-based models and techniques to solve diverse complex computational problems. This work focuses on the application of AIS techniques to cancer research and specifically for prediction of the recurrence of cancer in patients. The objective is to test AIS models and algorithms for cancer research by validation against actual cancer datasets. © 2011 IEEE. |
| URI: | http://ieeexplore.ieee.org/document/6149934/ http://bura.brunel.ac.uk/handle/2438/13267 |
| DOI: | http://dx.doi.org/10.1109/DeSE.2011.36 |
| ISBN: | 978-1-4577-2186-1 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 64.97 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.