Applications of Nonlinear System Identification in Molecular Biology

Name: Applications of Nonlinear System Identification in Molecular Biology
Creator: Michael J. Korenberg
Keywords: 0301 basic medicine, 0209 industrial biotechnology, Gene Expression Profiling, Computational Biology, 02 engineering and technology, Neoplasm Proteins, Pattern Recognition, Automated, 03 medical and health sciences, Nonlinear Dynamics, Artificial Intelligence

Michael J. Korenberg

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https://doi.org/10.1...arrow_drop_down

https://doi.org/10.1109/iembs....

Article . 2006 . Peer-reviewed

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https://doi.org/10.1109/iembs....

Article . 2006 . Peer-reviewed

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https://pubmed.ncbi.nlm.nih.go...

Article . 2008

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Applications of Nonlinear System Identification in Molecular Biology

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2006Publisher:IEEEJournal:2006 International Conference of the IEEE Engineering in Medicine and Biology Society (issn: 1557-170X,

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Authors: Michael J. Korenberg;

doi: 10.1109/iembs.2006.4397383 , 10.1109/iembs.2006.259455

pmid: 17946811

Applications of Nonlinear System Identification in Molecular Biology

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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.

Related Organizations

Queen's University
Canada

Keywords

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

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