Computational Intelligence Methods for Bioinformatics and Biostatistics

Invited Papers.- Coarse-Grained Modeling of the HIV–1 Protease Binding Mechanisms: I. Targeting Structural Flexibility of the Protease Flaps and Implications for Drug Design.- Coarse-Grained Modeling of the HIV–1 Protease Binding Mechanisms: II. Folding Inhibition.- Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data.- CIBB Regular Session.- Comparative In Silico Evaluation of MYB Transcription Factors in Eucalyptus, Sugarcane and Rice Transcriptomes.- Building Maps of Drugs Mode-of-Action from Gene Expression Data.- In Silico Evaluation of Osmoprotectants in Eucalyptus Transcriptome.- Mining Association Rule Bases from Integrated Genomic Data and Annotations.- Stability and Performances in Biclustering Algorithms.- Splice Site Prediction Using Artificial Neural Networks.- Interval Length Analysis in Multi Layer Model.- A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability.- Control of Cellular Glycolysis by Perturbations in the Glucose Influx.- Curating a Large-Scale Regulatory Network by Evaluating Its Consistency with Expression Datasets.- Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulations.- Clustering Bacteria Species Using Neural Gas: Preliminary Study.- A New Linear Initialization in SOM for Biomolecular Data.- 3D Volume Reconstruction and Biometric Analysis of Fetal Brain from MR Images.- Searching for Glycomics Role in Stem Cell Development.- A New Protein Representation Based on Fragment Contacts: Towards an Improvement of Contact Maps Predictions.- Analysis of Kernel Based Protein Classification Strategies Using Pairwise Sequence Alignment Measures.- Special Session: ISMDS - Intelligent Systems for Medical Decisions Support.- Topology Preserving Neural Networks for Peptide Design in Drug Discovery.- A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection.- Liver i-BiopsyTM and the Corresponding Intelligent Fibrosis Scoring Systems: i-Metavir F and i-Ishak F.- Special Session: Computational Intelligence for Biological Data Visualization.- An Extension of the TIGR M4 Suite to Preprocess and Visualize Affymetrix Binary Files.- A Supervised Learning Technique and Its Applications to Computational Biology.- A Visualization ToolKit Based Application for Representing Macromolecular Surfaces.