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| By: Eric S. PhD. (editor) Lauder ISBN: B000KFTFYW Publisher: Mary Ann Liebert, Inc Release Date: 2000 Bioscience book rank: | ||
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| By: Peter Markstein, Ying Xu ISBN: 186094700X Publisher: Imperial College Press Release Date: 28 July, 2006 Bioscience book rank: 567916 | ||
| By: Volkhard Helms ISBN: 3527315551 Publisher: Wiley-VCH Release Date: 14 July, 2008 Bioscience book rank: | ||
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| By: C.H. Wu, J.W. McLarty ISBN: 0080428002 Publisher: Elsevier Science Release Date: 01 September, 2000 Bioscience book rank: 1755469 | This book serves well to introduce the reader to the literature on the applications of neural networks to bioinformatics. It falls short however in giving an in-depth view of how neural networks operate and does not include any source code. Performance issues with the use of neural networks in genome informatics should have been given a more careful treatment. Considering its price, this is disappointing. A reader could obtain the required reading material on this subject from an online search. An instructor in a course in bioinformatics might use this book as a reference source however. Those who have used neural networks in other fields might be able to use the book as a guide to applying them to genome informatics. Thus the book could be viewed as a (very expensive) literature review article, but it does include some interesting remarks at various places: 1. Amino acid groupings that are found automatically by a Kohonen self-organizing map. 2. Feature representation and input encoding. 3. The discussion on cross-validation. 4. The discussion on protein secondary structure prediction. Genetic algorithms are mentioned here, so readers not familiar with these will have to gain the background elsewhere. In contrast to so many other bioinformatics books this one is written by genuine experts who have first-hand experience in both computer science and modern biology. <p>Each chapter is a masterpiece of clarity and good judgement in selection of topics to be covered. The book contains a large glossary of terms which makes it accessible for multidisciplinary readers. The authors made considerable effort to provide unbiased selection of most appropriate references following each chapter. This makes the book a superb research monograph for the specialists in addition to being a suitable text for educated beginners.<p>The book should be read by computer scientists who contemplate doing work in bioinformatics as well as by biologists who contemplate working in bioinformatics. Anybody who wants to design neural networks for specific biological applications will benefit the most from reading this text. Anybody who just wants to understand how and why neural networks can be used in biology will benefit from reading this book as well. Practicing computational biologists and bioinformaticians should have this book available as a desk reference. Psychologists, cognitive and social scientists who are interested in neural networks and artificial learning will likely benefit from reading this book as well.<p>I hasten to add that it would be really good for the book and for its readers if the publisher considered either lowering the price or printing a cheaper paperback edition. This is a book that comes out at the right time, a time when tons of information from genomics and several improved analysis tools based on great ideas are both becoming available. I believe readers from a broad range of academic background will benefit from the integration of knowledges from genome informatics, statistics, computer science, engineering, and mathmatics, a feature that this book exemplifies. | |
| By: Eric S. PhD. (editor) Lauder ISBN: B000KFXEEO Publisher: Mary Ann Liebert, Inc Release Date: 1999 Bioscience book rank: | ||
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| By: Rubem P. Mondaini, Rui Dilao ISBN: 9812707689 Publisher: World Scientific Publishing Company Release Date: 23 May, 2007 Bioscience book rank: 4514342 | ||
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| By: Alberto Apostolico, Concettina Guerra, Sorin Istrail, Pavel Pevzner, Michael Waterman ISBN: 3540332952 Publisher: Springer Release Date: 05 May, 2006 Bioscience book rank: 2685714 | ||
| By: Eric S. PhD. (editor) Lauder ISBN: B000KFV9VE Publisher: Mary Ann Liebert, Inc Release Date: 2000 Bioscience book rank: | ||
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| By: Vladimir B. Bajic, Tan Tin Wee ISBN: 1860945635 Publisher: World Scientific Publishing Company Release Date: 30 August, 2005 Bioscience book rank: 2539580 | ||
| By: Gabriel Valiente ISBN: 142006973X Publisher: Chapman & Hall/CRC Release Date: 30 March, 2009 Bioscience book rank: 4205179 | ||
Related books in this category:
bioinformatics, computational biology, sequence analysis, protein structure, data mining, biostatistics
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