Gary B. Fogel's Computational Intelligence in Bioinformatics (IEEE Press PDF

By Gary B. Fogel

ISBN-10: 0470105267

ISBN-13: 9780470105269

ISBN-10: 0470199083

ISBN-13: 9780470199084

Combining biology, laptop technology, arithmetic, and records, the sector of bioinformatics has turn into a scorching new self-discipline with profound affects on all points of biology and commercial program. Now, Computational Intelligence in Bioinformatics bargains an advent to the subject, overlaying the main proper and well known CI tools, whereas additionally encouraging the implementation of those the way to readers' learn.

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Evol. , Vol. 8, pp. 225–239. , C. Downes, and W. Dubitzky (2003). “Multiclass cancer classification using gene expression profiling and probabilistic neural networks,” Pacific Symp. , Vol. 8, pp. 5–16. , S. Grossberg, N. Markuzon, J. Reynolds, and D. Rosen (1992). “Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps,” IEEE Trans. , Vol. 3, pp. 698–713. Carpenter, G, S. Grossberg, and D. Rosen (1991). , Vol. 4, pp. 759–771. , J. Pei, J. Ma, and D.

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Sherlock, W. Chan, T. Greiner, D. Weisenburger, J. Armitage, R. Warnke, R. Levy, W. Wilson, M. Grever, J. Byrd, D. Bostein, P. Brown, and L. Staudt (2000). “Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling,” Nature, Vol. 403, pp. 503–511. Ambroise, C. and G. McLachlan (2002). “Selection bias in gene extraction on the basis of microarray gene-expression data,” Proc. Natl. Acad. , USA, Vol. 99, pp. 6562–6566. Anagnostopoulos, G. C. (2001). Novel Approaches in Adaptive Resonance Theory for Machine Learning, Doctoral Thesis, University of Central Florida, Orlando, Florida.

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Computational Intelligence in Bioinformatics (IEEE Press Series on Computational Intelligence) by Gary B. Fogel


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