Abstract
Knowledge discovery from databases (KDD) in biology largely depends on the use of accurate computer models of biological processes. KDD applications in immunology include the discovery of vaccine targets and new functional relations within the immune system. We describe a process of development and refinement of artificial neural network models of the human HLA-DR1 molecule, useful for the discovery of peptide vaccines. High accuracy of these models was achieved by data cleansing techniques and by cyclical retraining using new data.
| Original language | English |
|---|---|
| Title of host publication | ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 603-609 |
| Number of pages | 7 |
| ISBN (Electronic) | 0780358716, 9780780358713 |
| DOIs | |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | 6th International Conference on Neural Information Processing, ICONIP 1999 - Perth, Australia Duration: 16 Nov 1999 → 20 Nov 1999 |
Publication series
| Name | ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings |
|---|---|
| Volume | 2 |
Conference
| Conference | 6th International Conference on Neural Information Processing, ICONIP 1999 |
|---|---|
| Country/Territory | Australia |
| City | Perth |
| Period | 16/11/99 → 20/11/99 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Networks and Communications
- Statistics, Probability and Uncertainty
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