Lecture Notes in Computer Science15599 Computational Advances Bio and Medical Sciences

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Bol .- 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.

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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.


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