Computational Intelligence Methods for Bioinformatics and Biostatistics

.- A Network Approach to Aquatic Food Web Dynamics. .- Leveraging Diffuser Data Augmentation to enhance ViT-based performance on Dermatoscopic Melanoma Images Classification. .- Thyroid Nodule Diagnosis Using a New Supervised Autoencoder Neural net work with multi-categorical medical data. .- Can smoothing methods recognize the patterns of the hazard function in complex clinical scenarios? A simulation study using discrete-time survival models. .- Nested Named Entity Recognition in Chinese Electronic Medical Records. .- Transformers for Interpretable Classification of Histopathological Images. .- Breast Cancer Malignancy Prediction Through Explainable Models based on a Multimodal Signature of Features. .- Exploring the Conformational Odorant Space in the Olfactory Re-ceptor Binding Region. .- Synergy between mechanistic modelling and Ensemble Feature Selection ap proaches to explore multiscale biological Heterogeneity. .- Homophily of large weighted networks in a data streaming setting. .- Living along COVID-19: assessing contention policies through Agent-Based Models. .- Stochastic modeling and dosage optimization of a cancer vaccine exploiting the EpiMod Framework. .- Extension of the GreatMod modeling framework to simulate non-Markovian processes with general-distributed events. .- Identifying Damage-Related Features in scRNA-seq Data. .- A benchmark study of gene fusion prioritization tools. .- Improving the reliability of tree-based feature importance via consensus signals. .- Interpretable Machine Learning for Automated Cellular Population Analysis in Flow Cytometry. .- Pre-trained Models Based on Primary Sequence to Classify Antibody Bind ing to Protein and Non-Protein Targets with 80% Accuracy. .- Inferring breast cancer subtype associations using an original omics integra tion based on Non-negative Matrix Tri-Factorization. .- Screening the bioactivity of the P450 enzyme by spiking neural networks. .- Enhancing functional interpretability in gene expression analysis through biologically-guided feature selection. .- Extraction of Attributes from Electrodermal Activity Signals Applying Time Series Fuzzy Granulation for Classification of Academic Stress Perception in Different Scenarios. .- Transfer Learning and AutoML as a Support for the Pneumonia Diagnosis using Chest X-ray scan.