001482332 000__ 07311cam\\2200673\i\4500 001482332 001__ 1482332 001482332 003__ OCoLC 001482332 005__ 20231128003332.0 001482332 006__ m\\\\\o\\d\\\\\\\\ 001482332 007__ cr\cn\nnnunnun 001482332 008__ 231012s2023\\\\si\a\\\\o\\\\\101\0\eng\d 001482332 020__ $$a9789819970742$$q(electronic bk.) 001482332 020__ $$a9819970741$$q(electronic bk.) 001482332 020__ $$z9789819970735 001482332 0247_ $$a10.1007/978-981-99-7074-2$$2doi 001482332 035__ $$aSP(OCoLC)1402285933 001482332 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF 001482332 049__ $$aISEA 001482332 050_4 $$aQH324.2$$b.I83 2023 001482332 08204 $$a570.285$$223/eng/20231012 001482332 1112_ $$aISBRA (Conference)$$n(19th :$$d2023 :$$cWrocław, Poland) 001482332 24510 $$aBioinformatics research and applications :$$b19th international symposium, ISBRA 2023, Wrocław, Poland, October 9-12, 2023, proceedings /$$cXuan Guo, Serghei Mangul, Murray Patterson, Alexander Zelikovsky, editors. 001482332 24630 $$aISBRA 2023 001482332 264_1 $$aSingapore :$$bSpringer,$$c[2023] 001482332 264_4 $$c©2023 001482332 300__ $$a1 online resource (xiii, 555 pages) :$$billustrations (chiefly color). 001482332 336__ $$atext$$btxt$$2rdacontent 001482332 337__ $$acomputer$$bc$$2rdamedia 001482332 338__ $$aonline resource$$bcr$$2rdacarrier 001482332 4901_ $$aLecture notes in computer science. Lecture notes in bioinformatics,$$x2366-6331 ;$$v14248 001482332 4901_ $$aLNCS sublibrary: SL8 - Bioinformatics 001482332 500__ $$aInternational conference proceedings. 001482332 500__ $$aIncludes author index. 001482332 5050_ $$aUnveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences -- Efficient Sequence Embedding For SARS-CoV-2 Variants Classification -- On Computing the Jaro Similarity Between Two Strings -- Identifying miRNA-disease Associations based on Simple Graph Convolution with DropMessage and Jumping Knowledge -- Reconciling Inconsistent Molecular Structures from Biochemical Databases -- Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops -- Neurogenesis-associated Protein, a Potential Prognostic Biomarker in anti-PD-1 based kidney renal clear cell carcinoma patients therapeutics -- MPFNet: ECG Arrhythmias Classication Based on Multi-Perspective Feature Fusion -- PCPI: Prediction of circRNA and protein interaction using machine learning method -- Radiology Report Generation via Visual Recalibration and Context Gating-aware -- Using Generating Functions to Prove Additivity of Gene-Neighborhood Based Phylogenetics -- TCSA: A Text-guided Cross-view Medical Semantic Alignment Framework for Adaptive Multi-view Visual Representation Learning -- Multi-Class Cancer Classification of Whole Slide Images through Transformer and Multiple Instance Learning -- ricME: long-read based mobile element variant detection using sequence realignment and identity calculation -- scGASI: A graph autoencoder-based single-cell integration clustering method -- ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection -- USTAR: Improved Compression of k-mer Sets with Counters Using De Bruijn Graphs -- Graph-Based Motif Discovery in Mimotope Profiles of Serum Antibody Repertoire -- Sequence-Based Nanobody-Antigen Binding Prediction -- Approximating Rearrangement Distances with Replicas and Flexible Intergenic Regions -- The Ordered Covering Problem in Distance Geometry -- Phylogenetic Information as Soft Constraints in RNA Secondary Structure Prediction -- NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry -- On Sorting by Flanked Transpositions -- Integrative analysis of gene expression and alternative polyadenylation from single-cell RNA-seq data -- SaID: Simulation-aware Image Denoising Pre-trained Model for Cryo-EM Micrographs -- Reducing the impact of domain rearrangement on sequence alignment and phylogeny reconstruction -- Identification and functional annotation of circRNAs in neuroblastoma based on bioinformatics -- SGMDD: Subgraph Neural Network-Based Model for Analyzing Functional Connectivity Signatures of Major Depressive Disorder -- PDB2Vec: Using 3D Structural Information For Improved Protein Analysi -- Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification -- DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection -- On the Realisability of Chemical Pathways -- A Brief Study of Gene Co-Expression Thresholding Algorithms -- Inferring Boolean Networks from Single-Cell Human Embryo Datasets -- Enhancing t-SNE Performance for Biological Sequencing Data through Kernel Selection -- Genetic Algorithm with Evolutionary Jumps -- HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data -- Clique-based topological characterization of chromatin interaction hubs -- Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms -- Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer -- CSA-MEM: Enhancing Circular DNA Multiple Alignment through Text Indexing Algorithms -- A Convolutional Denoising Autoencoder for Protein Scaffold Filling -- Simulating tumor evolution from scDNA-seq as an accumulation of both SNVs and CNAs -- CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-cell Type Identification.-. 001482332 506__ $$aAccess limited to authorized users. 001482332 520__ $$aThis book constitutes the refereed proceedings of the 19th International Symposium on Bioinformatics Research and Applications, ISBRA 2023, held in Wrocław, Poland, during October 9–12, 2023. The 28 full papers and 16 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: reconciling inconsistent molecular structures from biochemical databases; radiology report generation via visual recalibration and context gating-aware; sequence-based nanobody-antigen binding prediction; and hist2Vec: kernel-based embeddings for biological sequence classification. 001482332 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 12, 2023). 001482332 650_6 $$aBio-informatique$$vCongrès. 001482332 650_0 $$aBioinformatics$$vCongresses.$$vCongresses$$0(DLC)sh2007101998 001482332 655_0 $$aElectronic books. 001482332 655_7 $$aproceedings (reports)$$2aat 001482332 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001482332 655_7 $$aConference papers and proceedings.$$2lcgft 001482332 655_7 $$aActes de congrès.$$2rvmgf 001482332 7001_ $$aGuo, Xuan,$$eeditor. 001482332 7001_ $$aMangul, Serghei,$$eeditor. 001482332 7001_ $$aPatterson, Murray,$$eeditor. 001482332 7001_ $$aZelikovsky, Alexander,$$eeditor.$$0(Uk)006341539 001482332 830_0 $$aLecture notes in computer science.$$pLecture notes in bioinformatics.$$x2366-6331 001482332 830_0 $$aLecture notes in computer science ;$$v14248. 001482332 830_0 $$aLNCS sublibrary.$$nSL 8,$$pBioinformatics. 001482332 852__ $$bebk 001482332 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-7074-2$$zOnline Access$$91397441.1 001482332 909CO $$ooai:library.usi.edu:1482332$$pGLOBAL_SET 001482332 980__ $$aBIB 001482332 980__ $$aEBOOK 001482332 982__ $$aEbook 001482332 983__ $$aOnline 001482332 994__ $$a92$$bISE