Computational techniques and pattern recognition
Name
Rajapakse-2009-Computational techniques and pattern recognition.pdf
Size
925.51 KB
Format
Adobe PDF
Checksum (MD5)
0973f4a15ee5035150929200b2439d34
Author(s)
Rajapakse, Jagath
Date Issued
July 2009
Journal
IEEE Engineering in Medicine and Biology Magazine
Publisher
Institute of Electrical and Electronics Engineers
Citation
Rajapakse, J.C. “Computational techniques and pattern recognition [Introduction to the special issue].” Engineering in Medicine and Biology Magazine, IEEE 28.4 (2009): 16-18. ©2009 IEEE.
Version
Final published version
Abstract
Bioinformatics data come in various forms such as biological sequences, molecular structures, gene and protein expressions, molecular networks, cellular images, and literature. A major aspect of discovering biological knowledge is to search, predict, and model specific patterns of the data that are likely to be associated with an important biological phenomenon or another set of data. One of the major discoveries in bioinformatics is that specific patterns in our genome and proteome are able to decipher our characters and how prone we are for certain diseases. To date, pattern recognition algorithms have been successfully applied or catered to address a wide range of bioinformatics problems. This issue highlights a few such applications that were selected from the presentations at the Third International Association for Pattern Recognition (IAPR) International Conference on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/MEMB.2009.933570
