Computational Intelligence Methods for Bioinformatics and Biostatistics

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Inhalt

Tools for Bioinformatics.- The ImmunoGrid Simulator: How to Use It.- Improving Coiled-Coil Prediction with Evolutionary Information.- Intelligent Text Processing Techniques for Textual-Profile Gene Characterization.- SILACAnalyzer - A Tool for Differential Quantitation of Stable Isotope Derived Data.- Gene Expression Analysis.- Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments.- In Silico Screening for Pathogenesis Related-2 Gene Candidates in Vigna Unguiculata Transcriptome.- Penalized Principal Component Analysis of Microarray Data.- An Information Theoretic Approach to Reverse Engineering of Regulatory Gene Networks from Time-Course Data.- New Perspectives in Bioinformatics.- On the Use of Temporal Formal Logic to Model Gene Regulatory Networks.- Predicting Protein-Protein Interactions with K-Nearest Neighbors Classification Algorithm.- Simulations of the EGFR - KRAS - MAPK Signalling Network in Colon Cancer. Virtual Mutations and Virtual Treatments with Inhibitors Have More Important Effects Than a 10 Times Range of Normal Parameters and Rates Fluctuations.- Special Session on "Using Game-Theoretical Tools in Bioinformatics".- Basics of Game Theory for Bioinformatics.- Microarray Data Analysis via Weighted Indices and Weighted Majority Games.- Special Session on "Combining Bayesian and Machine Learning Approaches in Bioinformatics: State of Art and Future Perspectives".- Combining Replicates and Nearby Species Data: A Bayesian Approach.- Multiple Sequence Alignment with Genetic Algorithms.- Special Session on "Data Clustering and Bioinformatics" (DCB 2009).- Multiple Clustering Solutions Analysis through Least-Squares Consensus Algorithms.- Projection Based Clustering of Gene Expression Data.- Searching a Multivariate Partition Space Using MAX-SAT.- A Novel Approach for Biclustering Gene Expression Data Using Modular Singular Value Decomposition.- Special Session on "Intelligent Systems for Medical Decisions Support" (ISMDS 2009).- Using Computational Intelligence to Develop Intelligent Clinical Decision Support Systems.- Different Methodologies for Patient Stratification Using Survival Data.- 3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas.- A Proposed Knowledge Based Approach for Solving Proteomics Issues.