title: Applications of nonlinear system identification in molecular biology.
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.
authors.affiliation: Dept. of Electrical & Computer. Engineering, Queen's University, Kingston, Ontario, Canada. korenber@post.queensu.ca
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Korenberg
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D014408:Biomarkers, Tumor / Q000032:analysis*; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D009363:Neoplasm Proteins / Q000032:analysis*; D009369:Neoplasms / Q000175:diagnosis* / Q000378:metabolism; D017711:Nonlinear Dynamics; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins