Abstract
Various computational methods for determining protein producing regions in a given genome are based on engineering constructs such as Hidden Markov Models and neural networks. This work presents a coding theory approach to modeling the process of protein translation initiation. The messenger RNA (mRNA) is viewed as a noisy encoded message and the ribosome as a block code minimum distance decoder. The results of applying this model to the Escherichia coli K-12 are presented.
Original language | English (US) |
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Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 1 |
Volume | 2 |
ISBN (Print) | 0780356756 |
State | Published - Dec 1 1999 |
Event | Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA Duration: Oct 13 1999 → Oct 16 1999 |
Other
Other | Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) |
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City | Atlanta, GA, USA |
Period | 10/13/99 → 10/16/99 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics