Applications of Computational Intelligence in Biology

Applications of Computational Intelligence in Biology
Author :
Publisher : Springer
Total Pages : 428
Release :
ISBN-10 : 9783540785347
ISBN-13 : 3540785345
Rating : 4/5 (47 Downloads)

Book Synopsis Applications of Computational Intelligence in Biology by : Tomasz G. Smolinski

Download or read book Applications of Computational Intelligence in Biology written by Tomasz G. Smolinski and published by Springer. This book was released on 2008-05-27 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers.


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