AIMC Journal:
IEEE transactions on computational biology and bioinformatics

Showing 31 to 40 of 56 articles

Multi-directional State Space Modeling for Deciphering Spatial Domains From Spatially Resolved Transcriptomics.

IEEE transactions on computational biology and bioinformatics Apr 29, 2026
Spatially resolved transcriptomics (SRT) enables the investigation of tissue architecture by mapping gene expression within its spatial context. However, current computational methods for spatial domain identification mainly depend on spatial adjacen...
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Predicting Bladder Cancer Prognosis by Integrating Multiple Omics Data through an Adversarial Autoencoder-based Cox proportional hazards Network.

IEEE transactions on computational biology and bioinformatics Apr 27, 2026
Bladder cancer prognosis is a critical factor in determining optimal treatment strategies. However, the heterogeneity of multi-omics data and the high dimensionality of gene features pose significant challenges for accurate survival prediction. Tradi...
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Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification.

IEEE transactions on computational biology and bioinformatics Apr 21, 2026
Biomarker detection is an indispensable part of the diagnosis and treatment of low-grade glioma (LGG). However, current LGG biomarker detection methods rely on expensive and complex molecular genetic testing, for which professionals are required to a...
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Compression and k-mer Based Approach for Anticancer Peptide Analysis.

IEEE transactions on computational biology and bioinformatics Apr 17, 2026
Anti-cancer peptide (ACP) sequence classification is crucial for cancer treatment development. Current neural network approaches achieve high accuracy but require substantial parameters and training data. Recent compression-based methods compress ent...
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Mamba-ACP: a Hybrid State-Space and Transformer Framework for Interpretable Anticancer Peptide Prediction.

IEEE transactions on computational biology and bioinformatics Apr 16, 2026
Anticancer peptides (ACPs) represent a promising class of therapeutic agents that selectively destroy cancer cells while sparing healthy tissues. Despite their potential, biological challenges-including poor biochemical stability, limited tumor selec...
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DGAE: Dynamic Graph Convolutional Network for Multi-Slice Spatial Transcriptomics Alignment and Enhancement.

IEEE transactions on computational biology and bioinformatics Apr 8, 2026
Spatial transcriptomics (ST) helps us understand cell interactions, developmental processes, and disease progression within tissues by analyzing gene expression while preserv ing spatial information on tissue sections. However, the spatial distributi...
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Incorporating Patient Similarity and Clinical Temporality in Disease Prognostic Modeling.

IEEE transactions on computational biology and bioinformatics Mar 31, 2026
Health recommender systems (HRSs) enhance prognostication by leveraging clinical information. Existing HRSs often fail to capture the intrinsic correlations between patient phenotypes with similar clinical profiles, necessitating approaches that inco...
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The DNA-Based Disease Diagnosis Model with Strand Displacement Reaction.

IEEE transactions on computational biology and bioinformatics Mar 6, 2026
MicroRNAs (miRNAs) serve as crucial biomarkers in disease diagnosis. Although silicon-based electronic machine learning models provide efficient means for analyzing the massive data associated with miRNAs and for disease diagnosis, they remain constr...
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METRON: Metabolic Dynamic Perception Kolmogorov-Arnold Network for Biological Age Estimation.

IEEE transactions on computational biology and bioinformatics Mar 3, 2026
Biological age provides a more direct reflection of physiological status than chronological age, serving as a vital measure to evaluate health risks and aging interventions. While steroid metabolomics offers rich information for exploring aging mecha...
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A Deep Learning Framework for Identifying Essential Proteins Based on Vision Transformer.

IEEE transactions on computational biology and bioinformatics Mar 3, 2026
Essential proteins are fundamental to the reproduction and survival of cells, and if they are killed, the cells will stop reproducing or die. Many computational methods of identifying essential proteins are proposed which fuse a large number of featu...
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