Applications of nonlinear system identification in molecular biology

Michael J Korenberg

doi:10.1109/IEMBS.2006.259455

Applications of nonlinear system identification in molecular biology

Conf Proc IEEE Eng Med Biol Soc. 2006:2006:256-9. doi: 10.1109/IEMBS.2006.259455.

Author

Michael J Korenberg¹

Affiliation

¹ Dept. of Electrical & Computer. Engineering, Queen's University, Kingston, Ontario, Canada. korenber@post.queensu.ca

PMID: 17946811
DOI: 10.1109/IEMBS.2006.259455

Abstract

Here we show how nonlinear system identification techniques, such as fast orthogonal search (FOS) and the orthogonal search method (OSM), can be used to analyze gene expression profiles and predict the class to which a profile belongs.

MeSH terms

Algorithms*
Artificial Intelligence
Biomarkers, Tumor / analysis*
Computational Biology / methods
Gene Expression Profiling / methods*
Humans
Neoplasm Proteins / analysis*
Neoplasms / diagnosis*
Neoplasms / metabolism
Nonlinear Dynamics*
Oligonucleotide Array Sequence Analysis / methods*
Pattern Recognition, Automated / methods

Substances

Biomarkers, Tumor
Neoplasm Proteins