Titlebook: Kinase Signaling Networks; Aik-Choon Tan,Paul H. Huang Book 2017 Springer Science+Business Media, LLC, part of Springer Nature 2017 Protei

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Characterization of the Phospho-Adhesome by Mass Spectrometry-Based Proteomics fundamental cell functions. Protein kinases and phosphatases play an integral role in integrin adhesion-mediated signaling. However, until recently, knowledge of the phosphorylation sites regulated downstream of integrin ligation was limited to candidate-based approaches and did not support a syste

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Analysis of Phosphotyrosine Signaling Networks in Lung Cancer Cell Linesrned by protein tyrosine kinases, including kinases involved in oncogenesis. Phosphotyrosine (pY)-containing peptides are commonly isolated from cellular lysates by means of antibody and/or metal affinity-based enrichment followed by their identification by mass spectrometry. Herein, we describe rob

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Targeted Analysis of Phosphotyrosine Signaling by Multiple Reaction Monitoring Mass Spectrometryrrant signaling driving cancer progression. However, validating the behavior of specific phosphosites across multiple experimental conditions remains challenging, due to limitations inherent in discovery-based proteomic workflows and the limited availability of high-quality antibodies required for a

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Michael Pargett,Taryn E. Gillies,Carolyn K. Teragawa,Breanne Sparta,John G. Albeckto operate large quantities of data by inputting, storing, retrieving, and managing that data. Over the years, various database models, including conceptual data models (e.g., entity-relationship (ER) model, enhanced entity-relationship (EER) model, and UML data model) and logical database models (e

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Jon R. Beck,Edward N. Harris,Cliff I. Stainsful direction. Further developments are needed to consider other aspects and thus to make the actual solution process more practical in the sense of solving more realistic problems with reduced computation. Two of the most important aspects which need to be considered are the problem of aggregation

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Martin Golkowski,Dustin J. Maly,Shao-En Ong- person cooperative games under fuzziness, uncertainty or risk. To introduce fuzziness, uncertainty or risk into a cooperative game, we define a mapping which associates a coalition with a fuzzy set or a probability distribution, instead of the characteristic function. A representation of cooperati

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Adam Stewart,Udai Banerji- person cooperative games under fuzziness, uncertainty or risk. To introduce fuzziness, uncertainty or risk into a cooperative game, we define a mapping which associates a coalition with a fuzzy set or a probability distribution, instead of the characteristic function. A representation of cooperati

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Joseph Robertson,Jonathan D. Humphries,Nikki R. Paul,Stacey Warwood,David Knight,Adam Byron,Martin Jptides. Firstly, 489 informative features are extracted based on 11 interesting compositions. Thereafter, 117 non-redundant and relevant features are selected by using fuzzy rough feature selection (FRFS) with ant colony optimization (ACO) search. Then, instances of the reduced dataset are resampled