Computational Intelligence Methods for Bioinformatics and Biostatistics

Chapter 1 Management and Analysis of Protein-to-Protein Interaction Data

Chapter 2 The Three Steps of Clustering in the Post-Genomic Era: A Synopsis

Chapter 3 Computational Intelligence Methods for Bioinformatics and Biostatistics

Chapter 4 Osmoprotectants in the Sugarcane ( Saccharum spp.) Transcriptome Revealed by in Silico Evaluation

Chapter 5 IP6K Gene Discovery in Plant mtDNA

Chapter 6 Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Analysis

Chapter 7 An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice

Chapter 8 Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods

Chapter 9 Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy

Chapter 10 Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways

Chapter 11 Qualitative Reasoning on Systematic Gene Perturbation Experiments

Chapter 12 Biclustering by Resampling

Chapter 13 Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections

Chapter 14 MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking

Chapter 15 A Multi-relational Learning Framework to Support Biomedical Applications

Chapter 17 A Knowledge Based Decision Support System for Bioinformatics and System Biology

Chapter 18 Dynamic Simulations of Pathways Downstream of ERBB-Family: Exploration of Parameter Space and Effects of Its Variation on Network Behavior

Chapter 19 Robustness Analysis of a Linear Dynamical Model of the Drosophila Gene Expression

Chapter 20 Intelligent Clinical Decision Support Systems for Non-invasive Bladder Cancer Diagnosis

Chapter 21 Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering

Chapter 22 Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods