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| Pattern Recognition in Bioinformatics: An Introduction Part 1: Signal and Motif Detection; Gene Selection Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation A Profile HMM for Recognition of Hormone Response Elements Graphical Approach to Weak Motif Recognition in Noisy Data Sets Comparative Gene Prediction Based on Gene Structure Conservation Co mputational Identification of Short Initial Exons Pareto-Gamma Statistic Reveals Global Rescaling in Transcriptomes of Low and High Aggressive Breast Cancer Phenotypes Investigating the from DDP-Based Class-Specific Relevance of Predictor Sets Obtained Feature Selection Technique A New Maximum-Relevance Criterion for Significant Gene Selection Part 2: Models of DNA, RNA, and Protein Structures Spectral Graph Partitioning Analysis of In Vitro Synthesized RNA Structural Folding Predicting Secondary Structure of All-Helical Proteins Using Hidden Markov Support Vector Machines Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine Using Permutation Patterns for Content-Based Phylogeny Part 3: Biological Databases and Imaging The Immune Epitope Database and Analysis Resource Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases Incremental Maintenance of Biological Databases Using Association Rule Mining Blind Separation of Multichannel Biomedical Image Patterns Non-negative Least-Correlated Component Analysis Image and Practal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery Hybridization of Independent Component Analysis, Rough Sets and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials Author Index |
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