Bioinformatics Research and Applications

Transcriptional Modules Guided by Motif Information.- A Novel Metric for Redundant Gene Elimination Based on Discriminative Contribution.- Network-Based Inference of Cancer Progression from Microarray Data.- Invited Keynote Talk: Quiet Revolution: Connectivity in the Cancer Research Community.- Wavelet-Based 3-D Multifractal Spectrum with Applications in Breast MRI Images.- Accurate Inverse Consistent Non-rigid Image Registration and Its Application on Automatic Re-contouring.- GlycoBrowser: A Tool for Contextual Visualization of Biological Data and Pathways Using Ontologies.- Pattern Matching in RNA Structures.- The Use of a Conformational Alphabet for Fast Alignment of Protein Structures.- On-the-Fly Rotamer Pair Energy Evaluation in Protein Design.- Invited Keynote Talk: Integrative Viral Molecular Epidemiology: Hepatitis C Virus Modeling.- Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction.- Hierarchical Clustering Support Vector Machines for Classifying Type-2 Diabetes Patients.- Computational Mutagenesis of E. coli Lac Repressor: Insight into Structure-Function Relationships and Accurate Prediction of Mutant Activity.- Evaluating Genetic Algorithms in Protein-Ligand Docking.- A Hidden Markov Model Approach for Prediction of Genomic Alterations from Gene Expression Profiling.- Evolutionary Algorithm for Feature Subset Selection in Predicting Tumor Outcomes Using Microarray Data.- Incorporating Knowledge of Topology Improves Reconstruction of Interaction Networks from Microarray Data.- Invited Keynote Talk: Data Mining and Statistical Methods for Analyzing Microarray Experiments.- Seven Variations of an Alignment Workflow - An Illustration of Agile Process Design and Management in Bio-jETI.- Supporting Computational Systems Science: Genomic Analysis Tool Federations Using Aspects and AOP.- BioDQ: Data Quality Estimation and Management for Genomics Databases.- Stepped Linear Regression to Accurately Assess Statistical Significance in Batch Confounded Differential Expression Analysis.- Bagging Multiple Comparisons from Microarray Data.- Human Blood-Brain Differential Gene-Expression Correlates with Dipeptide Frequency of Gene Products.