Titlebook: Data Mining for Systems Biology; Methods and Protocol Hiroshi Mamitsuka,Charles DeLisi,Minoru Kanehisa Book 2013 Springer Science+Business

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https://doi.org/10.1007/978-3-663-07869-2ach for constructing such functional linkage gene networks (FLNs) is based on the integration of diverse high-throughput functional genomics datasets. Data integration is a nontrivial task due to the heterogeneous nature of the different data sources and their variable accuracy and completeness. The

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https://doi.org/10.1007/978-3-663-07869-2 systemic functions of the cell, the organism, and the ecosystem. Major efforts have been undertaken for capturing and representing experimental knowledge as manually drawn KEGG pathway maps and for genome-based generalization of experimental knowledge through the KEGG Orthology (KO) system. Current

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https://doi.org/10.1007/978-3-663-07869-2sian network represents causal molecular mechanisms or statistical associations of the underlying system. Bayesian networks have been applied, for example, for inferring the structure of many biological networks from experimental data. We present some recent progress in learning the structure of static and dynamic Bayesian networks from data.

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Hiroshi Mamitsuka,Charles DeLisi,Minoru KanehisaAids researchers in the further development of databases,mining,and visualization systems..Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice

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Methods in Molecular Biologyhttp://image.papertrans.cn/d/image/262956.jpg

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