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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 | ||
| ||
Bioinformatics Research and Applications : 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 : 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 | ||
| ||
Multiple biological sequence alignment : scoring functions, algorithms and applications / / Ken Nguyen, Xuan Guo, Yi Pan
| Multiple biological sequence alignment : scoring functions, algorithms and applications / / Ken Nguyen, Xuan Guo, Yi Pan |
| Autore | Nguyen Ken <1975-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2016 |
| Descrizione fisica | 1 online resource (286 p.) |
| Disciplina | 572.8 |
| Collana | Wiley series on bioinformatics: computational techniques and engineering |
| Soggetto topico | Sequence alignment (Bioinformatics) |
| ISBN |
1-119-27245-9
1-119-27375-7 1-119-27376-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Copyright; Table of Contents; Preface; Chapter 1: Introduction; 1.1 Motivation; 1.2 The Organization of this Book; 1.3 Sequence Fundamentals; Chapter 2: Protein/DNA/RNA Pairwise Sequence Alignment; 2.1 Sequence Alignment Fundamentals; 2.2 Dot-Plot Matrix; 2.3 Dynamic Programming; 2.4 Word Method; 2.5 Searching Sequence Databases; References; Chapter 3: Quantifying Sequence Alignments; 3.1 Evolution and Measuring Evolution; 3.2 Substitution Matrices and Scoring Matrices; 3.3 GAPS; 3.4 Scoring Multiple Sequence Alignments; 3.5 Circular Sum Score; 3.6 Conservation Score Schemes
3.7 Diversity Scoring Schemes3.8 Stereochemical Property Methods; 3.9 Hierarchical Expected Matching Probability Scoring Metric (HEP); Chapter 4: Sequence Clustering; 4.1 Unweighted Pair Group Method with Arithmetic Mean - UPGMA; 4.2 Neighborhood-Joining Method - NJ; 4.3 Overlapping Sequence Clustering; Chapter 5: Multiple Sequences Alignment Algorithms; 5.1 Dynamic Programming; 5.2 Progressive Alignment; 5.3 Consistency and Probabilistic MSA; 5.4 Genetic Algorithms; 5.5 New Development in Multiple Sequence Alignment Algorithms; 5.6 Test Data and Alignment Methods; 5.7 Results Chapter 6: Phylogeny in Multiple Sequence Alignments6.1 The Tree of Life; 6.2 Phylogeny Construction; 6.3 Inferring Phylogeny from Multiple Sequence Alignments; Chapter 7: Multiple Sequence Alignment on High-Performance Computing Models; 7.1 Parallel Systems; 7.2 Exiting Parallel Multiple Sequence Alignment; 7.3 Reconfigurable-Mesh Computing Models - (R-Mesh); 7.4 Pairwise Dynamic Programming Algorithms; 7.5 Progressive Multiple Sequence Alignment ON R-Mesh; Chapter 8: Sequence Analysis Services; 8.1 EMBL-EBI: European Bioinformatics Institute 8.2 NCBI: National Center for Biotechnology Information8.3 GenomeNet and Data Bank of Japan; 8.4 Other Sequence Analysis and Alignment Web Servers; 8.5 SeqAna: Multiple Sequence Alignment with Quality Ranking; 8.6 Pairwise Sequence Alignment and Other Analysis Tools; 8.7 Tool Evaluation; Chapter 9: Multiple Sequence for Next-Generation Sequences; 9.1 Introduction; 9.2 Overview of Next Generation Sequence Alignment Algorithms; Chapter 10: Multiple Sequence Alignment for Variations Detection; 10.1 Introduction; 10.2 Genetic Variants; 10.3 Variation Detection Methods Based on MSA 10.4 Evaluation Methodology10.5 Conclusion and Future Work; Chapter 11: Multiple Sequence Alignment for Structure Detection; 11.1 Introduction; 11.2 RNA Secondary Structure Prediction Based on MSA; 11.3 Protein Secondary Structure Prediction Based on MSA; 11.4 Conclusion and Future Work; References; Index; End User License Agreement |
| Record Nr. | UNINA-9910135021203321 |
Nguyen Ken <1975->
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple biological sequence alignment : scoring functions, algorithms and applications / / Ken Nguyen, Xuan Guo, Yi Pan
| Multiple biological sequence alignment : scoring functions, algorithms and applications / / Ken Nguyen, Xuan Guo, Yi Pan |
| Autore | Nguyen Ken <1975-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2016 |
| Descrizione fisica | 1 online resource (286 p.) |
| Disciplina | 572.8 |
| Collana | Wiley series on bioinformatics: computational techniques and engineering |
| Soggetto topico | Sequence alignment (Bioinformatics) |
| ISBN |
1-119-27245-9
1-119-27375-7 1-119-27376-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page; Copyright; Table of Contents; Preface; Chapter 1: Introduction; 1.1 Motivation; 1.2 The Organization of this Book; 1.3 Sequence Fundamentals; Chapter 2: Protein/DNA/RNA Pairwise Sequence Alignment; 2.1 Sequence Alignment Fundamentals; 2.2 Dot-Plot Matrix; 2.3 Dynamic Programming; 2.4 Word Method; 2.5 Searching Sequence Databases; References; Chapter 3: Quantifying Sequence Alignments; 3.1 Evolution and Measuring Evolution; 3.2 Substitution Matrices and Scoring Matrices; 3.3 GAPS; 3.4 Scoring Multiple Sequence Alignments; 3.5 Circular Sum Score; 3.6 Conservation Score Schemes
3.7 Diversity Scoring Schemes3.8 Stereochemical Property Methods; 3.9 Hierarchical Expected Matching Probability Scoring Metric (HEP); Chapter 4: Sequence Clustering; 4.1 Unweighted Pair Group Method with Arithmetic Mean - UPGMA; 4.2 Neighborhood-Joining Method - NJ; 4.3 Overlapping Sequence Clustering; Chapter 5: Multiple Sequences Alignment Algorithms; 5.1 Dynamic Programming; 5.2 Progressive Alignment; 5.3 Consistency and Probabilistic MSA; 5.4 Genetic Algorithms; 5.5 New Development in Multiple Sequence Alignment Algorithms; 5.6 Test Data and Alignment Methods; 5.7 Results Chapter 6: Phylogeny in Multiple Sequence Alignments6.1 The Tree of Life; 6.2 Phylogeny Construction; 6.3 Inferring Phylogeny from Multiple Sequence Alignments; Chapter 7: Multiple Sequence Alignment on High-Performance Computing Models; 7.1 Parallel Systems; 7.2 Exiting Parallel Multiple Sequence Alignment; 7.3 Reconfigurable-Mesh Computing Models - (R-Mesh); 7.4 Pairwise Dynamic Programming Algorithms; 7.5 Progressive Multiple Sequence Alignment ON R-Mesh; Chapter 8: Sequence Analysis Services; 8.1 EMBL-EBI: European Bioinformatics Institute 8.2 NCBI: National Center for Biotechnology Information8.3 GenomeNet and Data Bank of Japan; 8.4 Other Sequence Analysis and Alignment Web Servers; 8.5 SeqAna: Multiple Sequence Alignment with Quality Ranking; 8.6 Pairwise Sequence Alignment and Other Analysis Tools; 8.7 Tool Evaluation; Chapter 9: Multiple Sequence for Next-Generation Sequences; 9.1 Introduction; 9.2 Overview of Next Generation Sequence Alignment Algorithms; Chapter 10: Multiple Sequence Alignment for Variations Detection; 10.1 Introduction; 10.2 Genetic Variants; 10.3 Variation Detection Methods Based on MSA 10.4 Evaluation Methodology10.5 Conclusion and Future Work; Chapter 11: Multiple Sequence Alignment for Structure Detection; 11.1 Introduction; 11.2 RNA Secondary Structure Prediction Based on MSA; 11.3 Protein Secondary Structure Prediction Based on MSA; 11.4 Conclusion and Future Work; References; Index; End User License Agreement |
| Record Nr. | UNINA-9910817720203321 |
|
Nguyen Ken <1975->
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||