Computational Intelligence Methods for Bioinformatics and Biostatistics

- Dynamic Gaussian Graphical Models for Modelling Genomic Networks
- Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes
- BioCloud Search EnGene: Surfing Biological Data on the Cloud
- Genomic Sequence Classification Using Probabilistic Topic Modeling
- Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches
- Weighting Scheme Methods for Enhanced Genomic Annotation Prediction
- French Flag Tracking by Morphogenetic Simulation Under Developmental Constraints
- High-Dimensional Sparse Matched Case-Control and Case-Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies
- Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data
- Writing Generation Model for Health Care Neuromuscular System Investigation
- Clusters Identification in Binary Genomic Data: The Alternative Offered by Scan Statistics Approach
- Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods
- Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems
- Superresolution MUSIC Based on Marcenko-Pastur Limit Distribution Reduces Uncertainty and Improves DNA Gene Expression-Based Microarray Classification
- Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases
- A Framework for Mining Life Sciences Data on the Semantic Web in an Interactive, Graph-Based Environment
- Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments
- Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles
- Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization