Titlebook: Data Mining for Systems Biology; Methods and Protocol Hiroshi Mamitsuka Book 2018Latest edition Springer Science+Business Media, LLC, part

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Wheels, Brakes, and Landing Gearnsional clustering. For understanding the biological features of genes in a single bicluster, visualizations such as heatmaps or parallel coordinate plots and tools for enrichment analysis are widely used. However, simultaneously handling many biclusters still remains a challenge. Thus, we developed

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https://doi.org/10.1057/978-1-137-59442-6ux analysis. PCA is able to capture the main modes of variability in a set of experiments and does not make many prior assumptions about the data, but does not inherently take into account the flux mode structure of metabolism. Stoichiometric flux analysis methods, such as Flux Balance Analysis (FBA

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Commercial Banking Risk Management/MS is the ability to accurately identify the peptide responsible for producing each observed spectrum. Recently, a dynamic Bayesian network (DBN) approach was shown to achieve state-of-the-art accuracy for this peptide identification problem. Modeling the stochastic process by which a peptide produ

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https://doi.org/10.1057/978-1-137-59442-6d into two types: feature-based and similarity-based methods. By utilizing the “Learning to rank” framework, we propose a new method, DrugE-Rank, to combine these two different types of methods for improving the prediction performance of new candidate drugs and targets. DrugE-Rank is available at ..

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Jeffrey R. Gerlach,James B. Oldroydreatly facilitates the application of biomedical information retrieval and text mining. Large-scale automatic MeSH indexing has two challenging aspects: the MeSH side and citation side. For the MeSH side, each citation is annotated by only 12 (on average) out of all 28,000 MeSH terms. For the citati