AIMC Journal:
bioRxiv

Showing 501 to 510 of 4935 articles

Noncoding regulatory mutations contribute to the aberrant gene expression in neuroblastoma.

bioRxiv Aug 15, 2026
Comprehensive analyses of whole-genome and exome sequencing data from high-risk neuroblastoma tumors have revealed relatively few recurrent, clinically actionable protein-coding driver mutations at initial diagnosis. This observation suggests that no...
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Transcranial ultrasound stimulation of the medial frontal cortex transiently improves performance by modulating conflict monitoring dynamics

bioRxiv Aug 14, 2026
Conflict monitoring and error processing are fundamental mechanisms underlying cognitive control and decision-making, and have been consistently associated with increased activity in the anterior midcingulate cortex (aMCC). Despite the extensive lite...
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FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean

bioRxiv Aug 14, 2026
Genomic Foundation Models (GFMs) are increasingly used for large-scale sequence analysis and generation. Compared with frontier language models, GFMs are typically smaller and frequently operate on long genomic sequences, with evaluation often requir...
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DQHTFI: Dynamic-Query Hypergraph Transformer for Fine-Grained Drug-Target Interaction and Affinity Prediction

bioRxiv Aug 14, 2026
Drug-target interaction prediction and binding affinity prediction are two key tasks in drug discovery and drug repurposing. Although deep learning methods have made significant progress, existing models typically rely on global representations of dr...
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ACCREDIT: A Quality-Aware Agentic Engine for Cell-resolved Cross-modal Image Registration with Dynamic Iterative Tuning

bioRxiv Aug 14, 2026
Spatial omics across complementary modalities is transforming our understanding of tissue architecture. Realizing this potential requires accurate and robust registration of cross-platform molecular images with hematoxylin-and-eosin (H&E) sections, t...
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Learning from human and chemical languages to predict biological function

bioRxiv Aug 14, 2026
Understanding how molecular structure encodes biological function remains a grand challenge in drug discovery. Here, we present PubCheF-1, a deep learning model that predicts literature-derived biological function directly from chemical structure. Pu...
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BayesForge: A Bayesian Inference library for Python, R, and Julia

bioRxiv Aug 14, 2026
Bayesian modeling is a cornerstone of modern ecological and evolutionary research, offering the flexibility to account for hierarchical structures, imperfect detection, and spatial dependencies. However, as ecological datasets grow in scale and compl...
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AI4Loop: an Artificial Intelligence Framework Reveals Increased 3D Chromatin Interactions and Therapeutic Vulnerabilities across 12,000 Cancer Samples

bioRxiv Aug 14, 2026
Three-dimensional chromatin interactions shape gene regulation, but their large-scale analysis remains limited by the cost and complexity of experimental assays. Here we present AI4Loop, a deep learning framework that infers genome-wide gene-centered...
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CALFP-MHC: Interpretable Pan-Allelic Prediction of Peptide-MHC Binding and Presentation Using Chemically Grounded Fingerprints and Contrastive Learning

bioRxiv Aug 14, 2026
Identifying which peptides bind major histocompatibility complex (MHC) molecules is central to vaccine design, neoantigen prioritization, and precision immunotherapy. Existing deep learning predictors largely encode amino acids as discrete symbols, t...
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MorphQ: label-free quantification and visualisation of complex morphology from standardised specimen images

bioRxiv Aug 14, 2026
1. Quantifying complex morphology from images remains difficult because predefined descriptors capture only selected traits. Yet, supervised machine learning models for images require labels and often produce task-specific features that are hard to i...
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