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.
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
Alzheimers 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.
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