On the advantages of multi-input single-output parallel cascade classifiers

Annals of Biomedical Engineering

Volumn 34, Issue 4, 2006, Pages 709-716

  Green, James R ^a,b   Korenberg, Michael J ^a  

^a QUEEN S UNIVERSITY   (Canada)

^b CARLETON UNIVERSITY   (Canada)

Author keywords

ATP binding sites; Bioinformatics; Exon prediction; Genetic algorithms; MISO; Nonlinear system identification; Parallel cascade identification; Protein family; Protein sequence analysis; SARAH codes

Indexed keywords

ADENOSINETRIPHOSPHATE; DATABASE SYSTEMS; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; PROTEINS;

ATP-BINDING SITES; BIOINFORMATICS; EXON PREDICTION; MISO; PARALLEL CASCADE IDENTIFICATION; SARAH CODES;

CASCADE CONTROL SYSTEMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; COMPUTER SIMULATION; METHODOLOGY; PROTEIN MOTIF; SEQUENCE ANALYSIS;

ALGORITHMS; AMINO ACID MOTIFS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; PATTERN RECOGNITION, AUTOMATED; SEQUENCE ANALYSIS, PROTEIN;

EID: 33646012626     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-006-9080-1     Document Type: Article

References (14)

1. Adeney, K. M. and M. J. Korenberg. Iterative fast orthogonal search algorithm for MDL-based training of generalized single-layer networks. Neural Networks 13:787-799, 2000.
2. Cheever, E. A., D. B. Searls, W. Karunaratne, and G. C. Overton. Using signal processing techniques for DNA sequence comparison. In: Proceedings of the 15th Northeastern Bioengineering Symposium, edited by S. Buus. Boston, MA: IEEE, 1989, pp. 173-174.
3. Dorsey, R. E. and W. J. Mayer. Genetic algorithms for estimation problems with multiple optima, nondifferentiability, and other irregular features. JBES 13(1):53-66, 1995.
4. Green, J. R., M. J. Korenberg, R. David, and I. W. Hunter. Recognition of adenosine triphosphate binding sites using parallel cascade system identification. Ann. Biomed. Eng. 31(4):462-470, 2003.
5. + Channels contribute early nonlinear amplification to the light response in Drosophila Photoreceptors. J. Neurophysiol. 90:2014-2021, 2003.
6. Korenberg, M. J. Parallel cascade identification and kernel estimation for nonlinear systems. Ann. Biomed. Eng. 19:429-455, 1991.
7. Korenberg, M. J., J. E. Solomon, and M. E. Regelson. Parallel cascade identification as a means for automatically classifying protein sequences into structure/function groups. Biol. Cybern. 82:15-21, 2000.
8. Korenberg, M. J., R. David, I. W. Hunter, and J. E. Solomon. Automatic classification of protein sequences into structure/function groups via parallel cascade identification: a feasibility study. Ann. Biomed. Eng. 28(7):803-811, 2000.
9. Korenberg, M. J., E. D. Lipson, J. R. Green, and J. E. Solomon. Parallel Cascade Recognition of Exon and Intron DNA Sequences. Ann. Biomed. Eng. 30(1): 129-140, 2002.
10. Lin, K., A. C. W. May, and W. R. Taylor. Amino acid encoding schemes from protein structure alignments: multi-dimensional vectors to describe residue types. J. Theor. Biol. 216:361-365, 2002.
11. Mao, K. Z. and S. A. Billings. Algorithms for minimal model structure detection in nonlinear dynamic system identification. Int. J. Control 68:311-330, 1997.
12. Matthews, B. W. Comparison of the predicted and observed secondary structure of T4 phage lysozyme. Biochem. Biophys. Acta 405:442-451, 1975.
13. Rose, G. D., A. R. Geselowitz, G. J. Lesser, R. H. Lee, and M. H. Aehfus. Hydrophobicity of amino acid residues in globular proteins. Science 229:834-838, 1985.
14. Rowen, L., B. F. Koop, and L. Hood. The complete 685-kilobase DNA sequence of the human beta T-cell receptor locus. Science 272(5269): 1755-1762, 1996.