Computational Intelligence Methods for Bioinformatics and Biostatistics, Kartoniert / Broschiert

Klappentext

.- 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.