This book constitutes the proceedings of the 18th International Symposium on Bioinformatics Research and Applications, ISBRA 2022, held in Haifa, Israel, in November 14-17, 2022.
The 30 full papers and 4 short papers presented in this book were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: AI and disease; computational proteomics; biomedical imaging; drug screening and drug-drug interaction prediction; Biomedical data; sequencing data analysis.
Inhaltsverzeichnis
MLMVFE: A Machine Learning Approach Based on Muli-View Features Extraction for Drug-Disease Associations Prediction. - STgcor: A Distribution-based Correlation MeasurementMethod 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 PPInetwork 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.
