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Bioinformatics Research and Applications 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9-12, 2023, Proceedings
Title
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.
ISBN
9789819970742
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XIII, 555 p.) 150 illus., 133 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This 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.
Variant and related titles
Springer ENIN.
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Printed edition:
Format
Books / Online
Language
English
Added to Catalog
November 02, 2023
Series
Lecture Notes in Bioinformatics, 14248
Contents
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.-.
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