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

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書目名稱Advances in Bioinformatics and Computational Biology影響因子(影響力)




書目名稱Advances in Bioinformatics and Computational Biology影響因子(影響力)學科排名




書目名稱Advances in Bioinformatics and Computational Biology網(wǎng)絡公開度




書目名稱Advances in Bioinformatics and Computational Biology網(wǎng)絡公開度學科排名




書目名稱Advances in Bioinformatics and Computational Biology被引頻次




書目名稱Advances in Bioinformatics and Computational Biology被引頻次學科排名




書目名稱Advances in Bioinformatics and Computational Biology年度引用




書目名稱Advances in Bioinformatics and Computational Biology年度引用學科排名




書目名稱Advances in Bioinformatics and Computational Biology讀者反饋




書目名稱Advances in Bioinformatics and Computational Biology讀者反饋學科排名

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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