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Titlebook: Data Integration in the Life Sciences; 5th International Wo Amos Bairoch,Sarah Cohen-Boulakia,Christine Froide Conference proceedings 2008

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书目名称Data Integration in the Life Sciences
副标题5th International Wo
编辑Amos Bairoch,Sarah Cohen-Boulakia,Christine Froide
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Data Integration in the Life Sciences; 5th International Wo Amos Bairoch,Sarah Cohen-Boulakia,Christine Froide Conference proceedings 2008
描述For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genomes, 3D structures, DNA chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels of quality. These data must be combined together and processed by bioinformatics tools deployed on powerful and e?cient platforms to permit the uncovering of patterns, s- ilarities and in general to help in the process of discovery. Analyzing complex, voluminous, and heterogeneous data and guiding the analysis of data are thus of paramount importance and necessitate the involvement of data integration techniques. DILS 2008 was the ?fth in a workshop series that aims at fostering disc- sion, exchange, and innovation in research and development in the area of data integration for the life sciences. Each previous DILS workshop attracted around 100 researchers from all over the world and saw an increase of submitted - pers over the preceding o
出版日期Conference proceedings 2008
关键词Clustering; annotation; architectures; association rule mining; bioinformatics; biology; biomedical data a
版次1
doihttps://doi.org/10.1007/978-3-540-69828-9
isbn_ebook978-3-540-69828-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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S. Ozmehmet Tasan,B. Felekoglu,E. Ozmehmet relationships between ontologies. Bgee then uses these aligned ontologies, onto which heterogeneous expression data types are mapped. These already include microarrays and ESTs. Bgee is available at http://bgee.unil.ch/
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Cornelya F. C. Klütsch,Linda Laikrelic and local data, such as microarray data, protein-protein interaction data and pathway information; (ii) a registry of databases to serve as a reference of trusted databases; (iii) The database EnDICTION, to capture functional predictions generated by the computational analysis platform.
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Exploiting Ontology Structure and Patterns of Annotation to Mine Significant Associations between Paribution from the child CV terms; its value can be varied to reflect a variance of confidence values among the sibling CV terms of some parent CV term. We illustrate the benefits of exploiting this knowledge through experimental evaluation.
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