{"product_id":"alser-mohammed-computational-advances-in-bio-and-medical-sciences-9783032024886","title":"Computational Advances in Bio and Medical Sciences","description":".- A Benchmarking Study of Random Projections and Principal Components for Dimensionality Reduction Strategies in Single Cell Analysis.\n\u003cbr\u003e\n.- Resistance genes are distinct in protein-protein interaction networks according to drug class and gene mobility.\n\u003cbr\u003e\n.- DuoHash: fast hashing of spaced seeds with application to spaced k-mers counting.\n\u003cbr\u003e\n.- Unsupervised Learning for Tertiary Structure Prediction of Protein Molecules: Systematic Review.\n\u003cbr\u003e\n.- Fast and Succinct Compression of k-mer Sets with Plain Text Representation of Colored de Bruijn Graphs.\n\u003cbr\u003e\n.- Enhancing Protein Side Chain Packing Using Rotamer Clustering and Machine Learning.\n\u003cbr\u003e\n.- Can Language Models Reason about ICD Codes to Guide the Generation of Clinical Notes?.\n\u003cbr\u003e\n.- Link Prediction in Disease-Disease Interactions Network Using a Hybrid Deep Learning Model.\n\u003cbr\u003e\n.- Model Selection for Sparse Microbial Network Inference using Variational Approximation.\n\u003cbr\u003e\n.- Haplotype-based Parallel PBWT for Biobank Scale Data.\n\u003cbr\u003e\n.- Mammo-Bench: A Large-scale Benchmark Dataset of Mammography Images.\n\u003cbr\u003e\n.- MetaEdit: Computational Identification of RNA editing in Microbiomes.\n\u003cbr\u003e\n.- Drug-centric prior improves drug response modeling in partially overlapping pharmacogenomic screens.\n\u003cbr\u003e\n.- Improving inter-helical residue contact prediction in α-helical Transmembrane proteins using structural neighborhood crowdedness information.\n\u003cbr\u003e\n.- Explaining Protein Folding Networks Using Integrated Gradients and Attention Mechanisms.\n\u003cbr\u003e\n.- The evolution of cancer progression risk: a phylogenetic and machine learning analysis.\n\u003cbr\u003e\n.- Cancer Diseases Classification with Sparse Neural Networks: An Information-Theoretic Approach.\n\u003cbr\u003e\n.- Epistatic Density of Viral Variants in Acute and Chronic HCV patients.\n\u003cbr\u003e\n.- Applying Genetic Algorithm with Saltations to MAX-3SAT.\n\u003cbr\u003e\n.- Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm.\n\u003cbr\u003e\n.- Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based CT Scan Analysis.\n\u003cbr\u003e\n.- Improved Graph-Based Antibody-Aware Epitope Prediction with Protein Language Model-Based Embeddings.\n\u003cbr\u003e\n.- Leveraging RNA LLMs for 3D Structure Prediction via Novel Data Augmentation.\n\u003cbr\u003e\n.- EfficientNet in Digital Twin-based Cardiac Arrest Prediction and Analysis.\n\u003cbr\u003e\n.- AmpliconHunter: A Scalable Tool for Accurate Amplicon Prediction from Microbiome Samples using Degenerate Primers.\n\u003cbr\u003e\n.- Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53798723912022,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/alser-mohammed-computational-advances-in-bio-and-medical-sciences-9783032024886","provider":"momoxbooks","version":"1.0","type":"link"}