Bioinformatics: a knowledge engineering approach
| dc.contributor.author | Kasabov, N | |
| dc.date.accessioned | 2009-05-27T22:18:54Z | |
| dc.date.available | 2009-05-27T22:18:54Z | |
| dc.date.copyright | 2004 | |
| dc.date.created | 2004 | |
| dc.date.issued | 2004 | |
| dc.description.abstract | The paper introduces the knowledge engineering (KE) approach for the modeling and the discovery of new knowledge in bioinformatics. This approach extends the machine learning approach with various rule extraction and other knowledge representation procedures. Examples of the KE approach, and especially of one of the recently developed techniques - evolving connectionist systems (ECOS), to challenging problems in bioinformatics are given, that include: DNA sequence analysis, microarray gene expression profiling, protein structure prediction, finding gene regulatory networks, medical prognostic systems, computational neurogenetic modeling. | |
| dc.identifier.uri | https://hdl.handle.net/10292/612 | |
| dc.publisher | IEEE | |
| dc.relation.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1344630&isnumber=29614 | |
| dc.rights | ©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
| dc.rights.accessrights | OpenAccess | |
| dc.source | 2nd International IEEE Conference on Intelligent Systems, Sofia, Bulgaria, 1, 19-24 | |
| dc.title | Bioinformatics: a knowledge engineering approach | |
| dc.type | Conference Proceedings |