ISBRA 2026

Accepted Papers

ISBRA 2026 List of Accepted Submissions

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ID	Paper Title	Track
#1	A Dependency-Aware Generative Model with Bi-Decoders for Super-Resolving Spatial Transcriptome Data from Histology Images	Track 1
#2	Precision Disease Stratification in Parkinson’s Disease: Fairness-Aware Imputation and Longitudinal Subtype Discovery	Track 1
#5	Gated Bottleneck Convolution with High-Similarity-Pass Attention Enables Accurate Drosha and Dicer Cleavage Site Prediction	Track 1
#11	scMMGC: A generative multi-omics integration method based on dual-mask contrastive fusion of co-expression graph	Track 1
#13	Dynamically Modeling Residue-level Contact Map for Predicting Protein-Protein Interactions	Track 1
#15	Spatially-Aware Lesion Feature Aggregation for Chest X-ray Disease Diagnosis	Track 2
#17	BioRxnReasoner: Multi-Agent Reasoning for Biochemical Reaction Diagram Question Answering	Track 1
#18	MCAF: Improving Mortality Risk Prediction using Multimodal Learning with Balanced Pre-training and Correlation-aware Fusion	Track 1
#21	scCT: Mapping Single-Cell Data to Human Reference Atlases to Identify Deviated Cell States	Track 1
#22	IDeepCLD: Top CHO Clones through Integrated Deep Data Analysis in Cell Line Development	Track 2
#23	Memory-Aware and Coarse-to-Fine Representation Learning for Medication Recommendation	Track 1
#24	CryoDETR: a Deformable DETR-based method for particle picking in cryo-EM micrographs	Track 1
#26	Reconstructing Qwen3 into Qwen3-Protein: A Versatile Biophysics-Grounded Protein Language Foundation Model for PTMs and Downstream Tasks	Track 1
#29	ICTNODE: Disentangling Intrinsic, Coupling, and Contextual Dynamics for Causal Inference and Dynamics Prediction	Track 2
#31	DIMIR: Deep Incomplete Multi-View Information Recovery for Breast Cancer Subtype Classification	Track 1
#32	FusionMa-DTA: Cross-Modal Fusion and Global-Local Sequence Modeling for Drug-Target Affinity Prediction	Track 1
#33	UGCA-DTI: Uncertainty-Gated Cross-Attention for Robust Drug–Target Interaction Prediction	Track 1
#34	Pathogenicity Prediction of Missense Mutations Through Attention-based Multi-omics Feature Integration	Track 1
#35	MLARGAT: Multi-level Information Aware Residual Graph Attention Network for Alzheimer's Disease Pathogenic Gene Prediction	Track 2
#38	LongTrack: Long-range Motion-Constrained Cell Tracking	Track 1
#41	circ-EGAT: Enhanced Graph Attention Network with Multi-Information Integration for circRNA-RBP Binding Sites Prediction	Track 1
#44	scAQUA: A Quintuplet Constraint-Based Batch Effect Correction Method for Single-Cell Multi-Omics Data	Track 1
#48	SpaDDA: Image-Guided Generative Diffusion Imputation for Spatial Transcriptomic Data	Track 2
#49	A Misaligned Multi-modal Clinical Time Series Representation Learning Framework for In-hospital Mortality Prediction	Track 1
#50	Sin-PPI: Sub-linear Proteome-Wide PPI Screening via Orthogonal Manifold Learning	Track 1
#51	A Triple-Modal Contrastive Learning Framework with Sequence, Graph, and 3D Features for Drug–Target Interaction Prediction	Track 1
#53	EG-TransAttention: Edge-Aware Multiscale Attention Network for Computational Prediction of CircRNA-Disease Associations	Track 1
#56	IPKDUN:An Interpretable Deep Unfolding Network with Implicit Neural Representation and Multi-Scale Interaction	Track 1
#57	GradGE: Gradient-Augmented Genetic Evolution for Prediction of SARS-CoV-2 Variants with Enhanced Immune Escape Potentials	Track 1
#61	T-MAP: A Transformer-based Framework for Multi-mapping Hi-C Read Pair Assignment	Track 2
#65	SpaAGMF: Adaptive Gated Multi-Scale Fusion of Histology and Spatial Transcriptomics for Cancer Region Classification	Track 1
#66	IMM-GNN: An Integrative Multi-hop and Multi-scale Graph Neural Network for Molecular Property Prediction	Track 1
#68	MTCNet:A Multi-Task Collaborative Network for Accurate Identification of Different Types of Colorectal Lesions	Track 1
#70	Mut-LDM: Latent Diffusion Model for Protein Mutation Effect Prediction	Track 2
#72	Drug-Target-Disease Association Prediction Based on Multi-Modal Feature Fusion Transformer	Track 1
#77	Construction and Practice of a 5C3S Collaborative Innovation Model for Graduate Education Reform: A case study based on a Biomedical Imaging Analysis Project	Track 1
#79	Identifying Nuclear Export Signals from Large-Scale Candidate Pools with a Deep Reranking Method	Track 1
#85	An Interactive Web Server for Multi-Model Drug Repositioning and Evidence Tracing	Track 1
#88	Invariant learning with substructure alignment and dual augmentation for out-of-distribution molecular property prediction	Track 2
#89	scGLA:Integrating Large Language Model Embeddings with Graph-Based Autoencoders for Batch Correction of Single-Cell RNA-Seq Data	Track 2
#90	DuoDR: Dual-Stream Collaborative Contrastive Learning with Dual-Axis Neighborhood-Aware Refinement for Drug Repositioning	Track 1
#93	TASER: A Two-Stage Pseudotime-Aware Framework for Directed Gene Regulatory Network Inference from Dynamic scRNA-seq Data	Track 2
#94	Dynamic Cross-modal Fusion and Feature Alignment for Multi-stage Diagnosis of Alzheimer’s Disease	Track 1
#95	FusionODE: Biochemical Function Prediction from Microscopy Images via Multimodal Continuous-Time Learning	Track 1
#96	SMF-Net: A Multi-modal Fusion Network for Predicting Concentration of FGFR1 Inhibitor	Track 2
#99	Predicting Drug Synergy via Cross-Modal Contrastive Learning and Masked Multi-Omics Hypergraphs	Track 1
#100	AlloMut: Dual-View Self-Supervised Representation Learning for Predicting the Pathogenicity of Allosteric-Site Variants	Track 1
#102	Pretrained Biological Sequence Embedding-Guided MoE for Cancer Driver Gene Prediction	Track 1
#105	A Semidefinite Programming Approach to Balanced Minimum Evolution Phylogeny Inference	Track 2
#107	AttentionNABP: Attention-Based Deep Learning Framework for Nucleic Acid-Binding Proteins Classification and Identification	Track 1
#110	Network-based metabolomics reveals pathway-level metabolic rewiring in Chronic Obstructive Pulmonary Disease	Track 2
#111	Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding	Track 1
#112	MicroSPECTRA decodes the hidden rhythms of the gut microbiome through a phase–frequency–amplitude framework	Track 2
#113	Identifying Spatial Domains via Hierarchical Fusion of Multi-scale Biological Priors	Track 1
#114	Understanding the microbiota-gut-brain axis behind the methamphetamine psychological addiction and the possible intervention treatment	Track 2
#118	AFLink Enables Multiview Analysis of Atrial Fibrillation Genes Through Integrating Heterogeneous Functional Genomic Data	Track 1
#120	Advancing Structure-Based Drug Design with Stochastic Differential Equations	Track 2
#121	Prime-DiffNovo: Accurate Peptide De Novo Sequencing via Non-Autoregressive Generation and Diffusion Refinement	Track 1
#122	Gene-M1: Cross-Species Genomic Discovery Enhanced by a Taxon-Specific Mixture-of-Experts Model	Track 1
#125	BioFC-GAT: Biomarker-Oriented Graph Attention Learning for ASD from rs-fMRI data	Track 1
#131	Predicting CRISPR-Cas13d On-Target Efficacy via Deep Learning	Track 1
#135	MORM: Multi-Omics-guided Region Mining and Cross-Modal Interaction for Multimodal Survival Prediction	Track 1
#136	Dynamic Spatiotemporal Graph Learning of EEG for Multi-Type Epileptiform Event Detection	Track 1
#137	Paratope-GLoMe: Gated Low-rank Memory Model for Nanobody Paratope Prediction	Track 1
#140	scRQMeta: Residual Quantization for Single-Cell Multi-Omics Metacell Inference	Track 1
#141	Improving Pan-genome Graph Index Construction for Reads Mapping	Track 2
#143	SecPredNet: Joint Modeling of PLM Embeddings and Physicochemical Features for Signal Peptide Secretion Efficiency Prediction	Track 1
#144	MPATDTI: A Meta-Path-Aware Transformer with Contrastive Learning for Drug-Target Interaction Prediction	Track 1
#145	HCPDA: Identification of piRNA-disease association based on heterogeneous graph attention and contrastive learning	Track 1
#149	DMMRL: Disentangled Multi-Modal Representation Learning via Variational Autoencoders for Molecular Property Prediction	Track 2
#156	IPRLLM: Iterative Prompt Refinement with Large Language Models for Enhancing Phage-Host Association Prediction	Track 1
#157	miRNA Target Prediction Based on Similarity Network Fusion and Graph Attention Network	Track 1
#158	An ESM3-Driven Motif-Guided Algorithm for Nanobody CDR3 Optimization with Enhanced Humanization Profiles	Track 2
#160	Motif-Aware Graph Attention Networks for Hemolytic Peptide Prediction	Track 1
#161	Swin Transformer-Based Interpretable Facial Recognition for Autism Spectrum Disorder with Dual Supervision Strategy	Track 1
#164	A Unified Benchmark and Conditional Sequence Modeling Framework for Future Influenza Evolution Prediction	Track 1
#166	A single-cell perturbation analysis framework integrating metabolic constraints and chain-based interpretability	Track 1
#167	Improving Rice lncRNA Functional Annotation through Pre-trained DNA Large Language Model and Relational Graphs	Track 2
#168	HiFuseVEP: Hierarchical Fusion of Multi-Source Protein Language Model Embeddings for Missense Variant Effect Prediction	Track 1
#169	Task-Aware Benchmarking of Batch Correction Methods for scRNA Triple-Negative Breast Cancer Atlas Construction	Track 2
#170	MACE: A Multi-scale Attention Convolutional Evaluation Model for Top-down Mass Spectrometry Isotopic Envelopes	Track 1
#171	HaloFold: Enhancing Protein Inverse Folding with 3D Physicochemical Microenvironment Modeling	Track 2
#173	TargetNPBind: A Pharmacophore-Guided Dual-Stream Fusion Framework for Natural Product-Target Binding Affinity Prediction	Track 1
#174	Dual-Axis Message Passing on Molecular Graphs: Layerwise Multi-Hop Convolution Meets Depthwise Dense Mixing	Track 1