Titlebook: Advances in Bioinformatics and Computational Biology; Brazilian Symposium João Carlos Setubal,Sergio Verjovski-Almeida Conference proceedi

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书目名称Advances in Bioinformatics and Computational Biology影响因子(影响力)




书目名称Advances in Bioinformatics and Computational Biology影响因子(影响力)学科排名




书目名称Advances in Bioinformatics and Computational Biology网络公开度




书目名称Advances in Bioinformatics and Computational Biology网络公开度学科排名




书目名称Advances in Bioinformatics and Computational Biology被引频次




书目名称Advances in Bioinformatics and Computational Biology被引频次学科排名




书目名称Advances in Bioinformatics and Computational Biology年度引用




书目名称Advances in Bioinformatics and Computational Biology年度引用学科排名




书目名称Advances in Bioinformatics and Computational Biology读者反馈




书目名称Advances in Bioinformatics and Computational Biology读者反馈学科排名

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0302-9743 2005...The 15 revised full papers and 10 revised extended abstracts presented together with 3 invited papers were carefully reviewed and selected from 55 submissions. The papers address a broad range of current topics in computational biology and bioinformatics..978-3-540-28008-8978-3-540-31861-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Responses of Bryophytes to Air Pollution,classes or profile changes. However, the performance of different novelty detection approaches may depend on the domain considered. This paper applies combined one-class classifiers to detect novelty in gene expression data. Results indicate that the robustness of the classification is increased with this combined approach.

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John S. Ryland,Joanne S. Portertained with them. An analysis of how the classes are separated by these algorithms, as different numbers of clusters are generated, is also presented. A discussion on the use of these information in the identification of special cases for further analysis by biologists is presented.

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Bryce DeWitt,Steven M. Christensenc discoveries in the last few years have greatly expanded both the number of known ncRNAs and the breadth of their biological roles [1]. In short, ncRNAs are much more biologically significant than previously realized..The computational problems associated with discovery and characterization of ncRN