Bioinformatics and Computational Biology

.- Modeling Virus-Tumor Interactions and Control in Oncolytic Virotherapy.
.- Fourier vs. Attention: A Re-look at Protein Sequence Generation Models.
.- A Structure-Aware Attention Mechanism for Protein Function Prediction.
.- Deep Learning Based Wound Segmentation and Characterization with LLM-Assisted Clinical
Interpretability.
.- Averaged Dynamics of Eco-Epidemic Processes on Graph.
.- Predicting Equilibrium in a Predator-Prey System with Disease.
.- A Clinical Decision Support Tool for Predicting Intensive Care Unit (ICU) Readmission After
Postoperative Breast Cancer Surgery Using MIMIC-IV Data.
.- Decoding the Latent Space: A Comparative Analysis of Autoencoder Representations for Protein
Fold Recognition.
.- Integration of Supervised Machine Learning Algorithms and MALDI-TOF MS for Identifying
Vancomycin-Resistant Enterococcus faecium Isolates.
.- DCJ and Indel Distance Considering Intergenic Region Information.
.- ABUS: A Framework for Evaluating Protein Language Models with Multimodal
Capabilities.
.- Modernizing Open-TGGATEs through Data and AI Methods.
.- SpaHMS: Dynamic Multi-Scale Integration of Multi-Batch Spatial Multi-Omics.
.- Predicting Obstetric and Non-obstetric Diagnoses Co-occurrences during Pregnancy.
.- Classification of a Post-Traumatic Stress DisorderRelated Brain Condition Using Dynamic
Functional Connectivity Statistics in Functional MRI.
.- PanACRpred: Predicting Accessible Chromatin Regions in Pangenomes using
Motif Chaining.
.- scFiLM: Dynamic Fusion of Gene Identity and Expression for Single-Cell Analysis.
.- Computational Discovery of CRISPR-Cas13b Guide RNAs for Broad-Spectrum Dengue Virus
Targeting.
.- Graph-Regularized Embedding Refinement for Spatial Domain Identification.
.- SCOPE-PD: Explainable AI on Subjective and Clinical Objective Measurements of Parkinson's
Disease for Precision Decision-Making.
.- Factorization-driven Representation Learning Techniques for Protein Tertiary Structure
Prediction: A Comprehensive Review.