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OverviewFull Product DetailsAuthor: Tetsuo Shibuya , Hisashi Kashima , Jun Sese , Shandar AhmadPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2012 ed. Volume: 7632 Dimensions: Width: 15.50cm , Height: 1.50cm , Length: 23.50cm Weight: 0.454kg ISBN: 9783642341229ISBN 10: 3642341225 Pages: 278 Publication Date: 14 September 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsRobust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks.- Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression.- A Genetic Algorithm for Scale-Based Translocon Simulation.- A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm.- Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns.- A Unified Adaptive Co-identification Framework for High-D Expression Data.- Protein Clustering on a Grassmann Manifold.- Improving the Portability and Performance of jViz.RNA – A Dynamic RNA Visualization Software.- A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images.- An Open Framework for Extensible Multi-stage Bioinformatics Software.- An Algorithm to Assemble Gene-Protein Reaction Associations for Genome-Scale Metabolic Model Reconstruction.- A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data – A NMR-Based Metabolomics Platform for the Assessment of Brazilian.- Principal Component Analysis for Bacterial Proteomic Analysis.- Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction.- Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction.- Improvement of the Protein–Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis.- Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters.- Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine.- Predicting V(D)J Recombination Using Conditional Random Fields.- A Simple Genetic Algorithm for Biomarker Mining.- Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment.- Aligning Discovered Patterns from Protein Family Sequences.- Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats.- Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |