AIMC Journal:
IEEE transactions on computational biology and bioinformatics

Showing 1 to 10 of 56 articles

SSL-InsNet: A Sequence Structured Labeling Framework for Large-Scale Genomic Insertion Detection Leveraging Time-Distributed Dual Transformer.

IEEE transactions on computational biology and bioinformatics Oct 9, 2026
Genomic structural variations (SVs) are pivotal in pathogenesis, yet existing methods often fail to maintain structural consistency for ultra-long variants spanning extensive intervals. In this paper, we propose SSL-InsNet, a novel sequence structure...
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Hypergraph-Attention-Guided Graph Refinement and Feature Decoupling for Single-Cell RNA-seq Clustering.

IEEE transactions on computational biology and bioinformatics Oct 1, 2026
Advances in single-cell RNA sequencing (scRNA-seq) enable the exploration of cellular heterogeneity at single-cell resolution. Accurate cell clustering is a prerequisite for delineating these identities; however, the inherent sparsity and prevalent d...
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Protein FT-Transformer: Species Classification via Amino Acid-Encoded DNA Sequences.

IEEE transactions on computational biology and bioinformatics Sep 25, 2026
DNA barcoding is widely used for species identification, yet many computational classifiers continue to operate directly on raw nucleotide sequences. For large and heterogeneous barcode repositories, this representation can introduce avoidable comput...
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MoTRANet: Safety-Aware Drug Recommendation via Molecular Representation Learning and Dynamic Patient Modeling.

IEEE transactions on computational biology and bioinformatics Sep 22, 2026
With the rapid development of artificial intelligence in healthcare, medication recommendation systems have become important tools for achieving personalized treatment. However, existing methods still have limitations in modeling drug molecular funct...
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RaFT-DM: A Residue-Aware Fusion Transformer With Domain-Wise Memory for Accurate Multi-Label Protein Function Prediction.

IEEE transactions on computational biology and bioinformatics Sep 17, 2026
Accurate protein function prediction via modeling protein sequences as long structured symbolic sequences is essential for understanding cellular mechanisms and guiding drug discovery. However, conventional deep learning models often use global pooli...
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MAGNN-DTA: Cross-Modal Mutual Attention Graph Neural Networks for Drug-Target Affinity Prediction.

IEEE transactions on computational biology and bioinformatics Sep 8, 2026
Drug-Target Affinity (DTA) prediction is a crucial step in discovering and developing new pharmaceuticals. However, existing approaches remain limited in modeling multimodal features and capturing cross-modal interactions, often failing to fully char...
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A Molecular Perceptron Based on DNA Circuit.

IEEE transactions on computational biology and bioinformatics Aug 28, 2026
Activation functions are critical to artificial neural networks; however, their implementation in DNA circuitry has remained a long-standing challenge, impeding the advancement of DNA circuits in artificial intelligence. This paper constructs a step ...
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CA-GCN: A Causality-Aware Graph Coupling Network for Multimodal Learning of Brain Connectivity.

IEEE transactions on computational biology and bioinformatics Aug 19, 2026
Understanding the coupling relationship between structural connectivity (SC) and functional connectivity (FC) is essential for advancing our knowledge of individual brain function and organization. Recent deep learning techniques, particularly graph ...
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Quantum-Enhanced Transfer Learning for IDR Binding Partner Prediction.

IEEE transactions on computational biology and bioinformatics Aug 17, 2026
Intrinsically Disordered Regions (IDRs) play essential roles in cellular processes through interactions with proteins, nucleic acids, lipids, and metal ions, yet predicting their binding partners remains challenging for understanding protein function...
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GPCR-SLM: Small Language Model-Based Classification of GPCRs Using Knowledge Distillation Technique.

IEEE transactions on computational biology and bioinformatics Jul 29, 2026
Accurate protein family classification is essential since proteins within the same family share conserved structural domains and biochemical functions that deter mine their biological roles. G protein-coupled receptors (GPCRs) represent one of the la...
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