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Bioinformatics Research and Applications [[electronic resource] ] : 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9–12, 2023, Proceedings / / edited by Xuan Guo, Serghei Mangul, Murray Patterson, Alexander Zelikovsky
Bioinformatics Research and Applications [[electronic resource] ] : 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9–12, 2023, Proceedings / / edited by Xuan Guo, Serghei Mangul, Murray Patterson, Alexander Zelikovsky
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (xiii, 555 pages) : illustrations (chiefly color)
Disciplina 570.285
Altri autori (Persone) GuoXuan <1987->
MangulSerghei
PattersonMurray
ZelikovskyAlexander
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Computer networks
Computer engineering
Artificial Intelligence
Computer Communication Networks
Computer Engineering and Networks
ISBN 981-9970-74-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Unveiling 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.-.
Record Nr. UNISA-996558470303316
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bioinformatics Research and Applications [[electronic resource] ] : 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9–12, 2023, Proceedings / / edited by Xuan Guo, Serghei Mangul, Murray Patterson, Alexander Zelikovsky
Bioinformatics Research and Applications [[electronic resource] ] : 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9–12, 2023, Proceedings / / edited by Xuan Guo, Serghei Mangul, Murray Patterson, Alexander Zelikovsky
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (xiii, 555 pages) : illustrations (chiefly color)
Disciplina 570.285
Altri autori (Persone) GuoXuan <1987->
MangulSerghei
PattersonMurray
ZelikovskyAlexander
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Computer networks
Computer engineering
Artificial Intelligence
Computer Communication Networks
Computer Engineering and Networks
ISBN 981-9970-74-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Unveiling 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.-.
Record Nr. UNINA-9910747593303321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bioinformatics research and applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul
Bioinformatics research and applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (404 pages)
Disciplina 170
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
ISBN 3-031-23198-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto MLMVFE: A Machine Learning Approach Based on Muli-View Features Extraction for Drug-Disease Associations Prediction -- STgcor: A Distribution-based Correlation Measurement Method for Spatial Transcriptome Data -- Automatic ICD Coding based on Multi-granularity Feature Fusion -- Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps -- Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension -- Private Epigenetic PaceMaker Detector using Homomorphic Encryption - Extended Abstract -- NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network -- Research on the prediction method of disease classification based on imaging features -- M-US-EMRs: A Multi-Modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease -- Transposition Distance Considering Intergenic Regions for Unbalanced Genomes -- An SMT-based Framework for Reasoning about Discrete Biological Models -- ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-rank Representation Method for Single-cell RNA-sequencing Data Clustering -- An Efficient and User-friendly Software for PCR Primer Design for Detection of Highly Variable Bacteria -- A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes -- TDCOSR: A multimodality fusion framework for association analysis between genes and ROIs of Alzheimer’s disease -- Policy-based Hypertension Monitoring using Formal Runtime Verification Monitors -- Deep learning-enhanced MHC-II presentation prediction and peptidome deconvolution -- MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis -- Optimal sequence alignment to ED-strings -- Heterogeneous PPI network representation learning for protein complex identification -- A Clonal Evolution Simulator for Planning Somatic Evolution Studies -- Prediction of Drug-disease Relationship on Heterogeneous Networks Based on Graph Convolution -- t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution -- MPCDDI: A Secure Multiparty Computation-based Deep Learning Framework for Drug-drug Interaction Predictions -- A Multimodal Data Fusion-based Deep Learning Approach for Drug-Drug Interaction Prediction -- GNN-Dom: an unsupervised method for protein domain partition via protein contact map -- A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs -- Gaussian-enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations -- Distance Profiles of Optimal RNA Foldings -- 2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning -- EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain -- Simulating Spiking Neural Networks based on SW26010pro -- Entropy Based Clustering of Viral Sequences -- A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data.
Record Nr. UNISA-996503466103316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bioinformatics Research and Applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14–17, 2022, Proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul
Bioinformatics Research and Applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14–17, 2022, Proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (404 pages)
Disciplina 170
572.80285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Computer networks
Computer engineering
Artificial Intelligence
Computer Communication Networks
Computer Engineering and Networks
ISBN 3-031-23198-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto MLMVFE: A Machine Learning Approach Based on Muli-View Features Extraction for Drug-Disease Associations Prediction -- STgcor: A Distribution-based Correlation Measurement Method for Spatial Transcriptome Data -- Automatic ICD Coding based on Multi-granularity Feature Fusion -- Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps -- Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension -- Private Epigenetic PaceMaker Detector using Homomorphic Encryption - Extended Abstract -- NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network -- Research on the prediction method of disease classification based on imaging features -- M-US-EMRs: A Multi-Modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease -- Transposition Distance Considering Intergenic Regions for Unbalanced Genomes -- An SMT-based Framework for Reasoning about Discrete Biological Models -- ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-rank Representation Method for Single-cell RNA-sequencing Data Clustering -- An Efficient and User-friendly Software for PCR Primer Design for Detection of Highly Variable Bacteria -- A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes -- TDCOSR: A multimodality fusion framework for association analysis between genes and ROIs of Alzheimer’s disease -- Policy-based Hypertension Monitoring using Formal Runtime Verification Monitors -- Deep learning-enhanced MHC-II presentation prediction and peptidome deconvolution -- MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis -- Optimal sequence alignment to ED-strings -- Heterogeneous PPI network representation learning for protein complex identification -- A Clonal Evolution Simulator for Planning Somatic Evolution Studies -- Prediction of Drug-disease Relationship on Heterogeneous Networks Based on Graph Convolution -- t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution -- MPCDDI: A Secure Multiparty Computation-based Deep Learning Framework for Drug-drug Interaction Predictions -- A Multimodal Data Fusion-based Deep Learning Approach for Drug-Drug Interaction Prediction -- GNN-Dom: an unsupervised method for protein domain partition via protein contact map -- A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs -- Gaussian-enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations -- Distance Profiles of Optimal RNA Foldings -- 2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning -- EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain -- Simulating Spiking Neural Networks based on SW26010pro -- Entropy Based Clustering of Viral Sequences -- A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data.
Record Nr. UNINA-9910639891503321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui