Computational Advances in Bio and Medical Sciences

.- A Benchmarking Study of Random Projections and Principal Components for Dimensionality Reduction Strategies in Single Cell Analysis. .- Resistance genes are distinct in protein-protein interaction networks according to drug class and gene mobility. .- DuoHash: fast hashing of spaced seeds with application to spaced k-mers counting. .- Unsupervised Learning for Tertiary Structure Prediction of Protein Molecules: Systematic Review. .- Fast and Succinct Compression of k-mer Sets with Plain Text Representation of Colored de Bruijn Graphs. .- Enhancing Protein Side Chain Packing Using Rotamer Clustering and Machine Learning. .- Can Language Models Reason about ICD Codes to Guide the Generation of Clinical Notes?. .- Link Prediction in Disease-Disease Interactions Network Using a Hybrid Deep Learning Model. .- Model Selection for Sparse Microbial Network Inference using Variational Approximation. .- Haplotype-based Parallel PBWT for Biobank Scale Data. .- Mammo-Bench: A Large-scale Benchmark Dataset of Mammography Images. .- MetaEdit: Computational Identification of RNA editing in Microbiomes. .- Drug-centric prior improves drug response modeling in partially overlapping pharmacogenomic screens. .- Improving inter-helical residue contact prediction in α-helical Transmembrane proteins using structural neighborhood crowdedness information. .- Explaining Protein Folding Networks Using Integrated Gradients and Attention Mechanisms. .- The evolution of cancer progression risk: a phylogenetic and machine learning analysis. .- Cancer Diseases Classification with Sparse Neural Networks: An Information-Theoretic Approach. .- Epistatic Density of Viral Variants in Acute and Chronic HCV patients. .- Applying Genetic Algorithm with Saltations to MAX-3SAT. .- Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm. .- Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based CT Scan Analysis. .- Improved Graph-Based Antibody-Aware Epitope Prediction with Protein Language Model-Based Embeddings. .- Leveraging RNA LLMs for 3D Structure Prediction via Novel Data Augmentation. .- EfficientNet in Digital Twin-based Cardiac Arrest Prediction and Analysis. .- AmpliconHunter: A Scalable Tool for Accurate Amplicon Prediction from Microbiome Samples using Degenerate Primers. .- Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences.