Computational Advances in Bio and Medical Sciences, Kartoniert / Broschiert

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.- 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.