Computational Intelligence Methods for Bioinformatics and Biostatistics

Chapter 1 Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values

Chapter 2 Variational Inference in Probabilistic Single-cell RNA-seq Models

Chapter 3 Centrality Speeds the Subgraph Isomorphism Search Up in Target Aware Contexts

Chapter 4 Structure-Based Antibody Paratope Prediction with 3D Zernike Descriptors and SVM

Chapter 5 Simultaneous Phasing of Multiple Polyploids

Chapter 6 Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings

Chapter 7 Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions

Chapter 8 A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks

Chapter 9 Improved Predictor-Corrector Algorithm

Chapter 10 Identification of Key miRNAs in Regulation of PPI Networks

Chapter 11 Recurrent Deep Neural Networks for Nucleosome Classification

Chapter 12 Searching for the Source of Difference: A Graphical Model Approach

Chapter 13 A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference

Chapter 14 Inhibition of Primed Ebola Virus Glycoprotein by Peptide Compound Conjugated to HIV-1 Tat Peptide Through a Virtual Screening Approach

Chapter 15 Pharmacophore Modelling, Virtual Screening, and Molecular Docking Simulations of Natural Product Compounds as Potential Inhibitors of Ebola Virus Nucleoprotein

Chapter 16 Global Sensitivity Analysis of Constraint-Based Metabolic Models

Chapter 17 Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization

Chapter 18 Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain

Chapter 19 Neural Models for Brain Networks Connectivity Analysis

Chapter 20 Exposing and Characterizing Subpopulations of Distinctly Regulated Genes by K-Plane Regression

Chapter 21 Network Propagation-Based Semi-supervised Identification of Genes Associated with Autism Spectrum Disorder

Chapter 22 Designing and Evaluating Deep Learning Models for Cancer Detection on Gene Expression Data

Chapter 24 Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks

Chapter 25 Unravelling Breast and Prostate Common Gene Signatures by Bayesian Network Learning

Chapter 26 Effect of Epigallocatechin-3-gallate on DMPC Oxidation Revealed by Infrared Spectroscopy

Chapter 27 Effect of EGCG on the DNA in Presence of UV Radiation

Chapter 28 Non-thermal Atmospheric Pressure Plasmas: Generation, Sources and Applications

Chapter 29 Adsorption of Triclosan on Sensors Based on PAH/PAZO Thin-Films: The Effect of pH

Chapter 30 Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study