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 BasedPhylogenetics -- 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 ofGene 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.-.

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.