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Titlebook: Bioinformatics Using Computational Intelligence Paradigms; Udo Seiffert,Lakhmi C. Jain,Patric Schweizer Book 2005 Springer-Verlag Berlin H

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期刊全称Bioinformatics Using Computational Intelligence Paradigms
影响因子2023Udo Seiffert,Lakhmi C. Jain,Patric Schweizer
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发行地址Contains recent theoretical approaches and guiding applications of biologically inspired information processing systems (Computational Intelligence) against the background of bioinformatics.Combines t
学科分类Studies in Fuzziness and Soft Computing
图书封面Titlebook: Bioinformatics Using Computational Intelligence Paradigms;  Udo Seiffert,Lakhmi C. Jain,Patric Schweizer Book 2005 Springer-Verlag Berlin H
影响因子.Bioinformatics and computational intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. Bioinformatics Using Computational Intelligence Paradigms contains recent theoretical approaches and guiding applications of biologically inspired information processing systems (computational intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of bioinformatics and computational intelligence, and offers promising cross-fertilization and interdisciplinary work between these growing fields..
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Markus Oestreich,Oliver Rombergegions in eukaryotic DNA. The availability of large amounts of sequenced DNA makes the development of fast and reliable tools for automatic identi.cation of important functional regions of DNA necessary. We present a prototype based pattern recognition tool trained for automatic donor and acceptor r
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Markus Oestreich,Oliver Rombergimages of one specific experiment the time factor is often rather secondary, and other features like lossless compression and a high compression ratio are much more important. Due to the similarity of all images within one experiment series, a content based compression seems to be especially applica
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Markus Oestreich,Oliver Rombergesponse program. Survival of especially single-cell organisms depends on their ability to adapt to the environmental changes and therefore stress response has received much attention. In the budding yeast . several hundred genes out of about 6500 present in the genome have previously been found invo
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Parameterschätzung, Mr. Spock lässt grüßenpate to regulatory networks that control the response of the cell to external input signals. One of the most important challenge to biologists is undoubtedly to understand the mechanisms that govern this regulation, and to identify among a set of genes which play a regulator role and which are regul
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https://doi.org/10.1007/978-3-8348-9360-4ole in the use and interpretation of microarray data. For example, classifiers could be constructed indicating the detailed subtype of a disease, its expected progression and the best treatment strategy. In this chapter we outline the main stages involved in the development of a successful class pre
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Markus Oestreich,Oliver Romberglone of a gene from one specific tissue. At the same time, some mRNA samples are labeled with two different kinds of dyes, for example,Cy5 (red) and Cy3 (blue). After that, the mRNA samples will be put on the chip and interact with the genes on the chip. This process is called hybridization. After h
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