Pattern Recognition in Bioinformatics
Springer Berlin (Verlag)
978-3-642-34122-9 (ISBN)
Robust 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.
Erscheint lt. Verlag | 14.9.2012 |
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Reihe/Serie | Lecture Notes in Bioinformatics | Lecture Notes in Computer Science |
Zusatzinfo | XII, 278 p. 74 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 445 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Algorithmen | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Bioinformatik | |
Medizin / Pharmazie ► Gesundheitswesen | |
Naturwissenschaften ► Biologie | |
Schlagworte | Algorithm analysis and problem complexity • evolutionary algorithms • extreme machine learning • Genetic Algorithm • Protein Structure Prediction • Supervised classification |
ISBN-10 | 3-642-34122-5 / 3642341225 |
ISBN-13 | 978-3-642-34122-9 / 9783642341229 |
Zustand | Neuware |
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