AIMC Journal:
bioRxiv

Showing 381 to 390 of 4935 articles

Scalable spatial DNA sequencing from archival tissue maps copy number subclones

bioRxiv Aug 27, 2026
Spatially resolved DNA sequencing holds promise due to its potential utility in understanding cancer intra-tumour heterogeneity and tumour evolution in relation to tissue architecture. However, it has so far been used to a limited extent due to techn...
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Evaluating the performance of splicing predictors on thousands of synthetic gene variants

bioRxiv Aug 27, 2026
Computational predictors of RNA splicing are increasingly used to interpret genetic variants and to design synthetic genes, yet they are almost always benchmarked on endogenous human sequences closely related to their training data. Whether their per...
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Differential Associations of Microglial Inflammation on LATE-NC and Tangle-Related Hippocampal Atrophy

bioRxiv Aug 27, 2026
BACKGROUND: Accumulations of AD and LATE-NC both contribute to changes in hippocampal volume, possibly via distinct and/or overlapping mechanisms. Microglia-driven inflammation is a shared pathway associated with both AD and LATE-NC. However, the ext...
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A closed-loop reinforcement learning framework for rapid compound directed optimization

bioRxiv Aug 27, 2026
Generative artificial intelligence (AI) holds transformative potential for drug discovery, yet existing architectures typically operate in open loops without experimental feedback. Here we introduce rapid compound directed optimization (RCDO), a clos...
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MT-LLE: Multi-Task Locally Linear Embedding for Interpretable Disease Modeling from Longitudinal Omics Data

bioRxiv Aug 27, 2026
Constructing interpretable disease models from longitudinal omics data is a central challenge in precision medicine. The goal is a low-dimensional representation in which a patient's position encodes their molecular state and clinical severity, and a...
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NeuroFLAME: A Scalable, Privacy-Preserving Federated Framework for Secure, Reproducible, and Multi-Site Neuroimaging Analysis

bioRxiv Aug 27, 2026
Federated analysis offers a scalable approach to multi-site neuroimaging research by enabling distributed statistical modeling, machine learning, decomposition, harmonization, and validation without exchanging sensitive individual-level data. However...
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DISRUPTION OF A DNA REPAIR PROTEIN PROMOTES ANTIBIOTIC RESISTANCE IN ACINETOBACTER BAUMANNII

bioRxiv Aug 27, 2026
Acinetobacter baumannii is a high priority Gram negative opportunistic pathogen known for its high rates of multidrug resistance (MDR). Minocycline (MIN), a tetracycline class antibiotic, is one of the most effective antibiotics for treating A. bauma...
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Sequence-to-function deep learning decodes human cis-regulatory evolution

bioRxiv Aug 27, 2026
Deciphering the regulatory consequences of sequence divergence across human evolution is essential to understanding the molecular basis of human-specific traits and disease. Although millions of derived alleles distinguish humans from great apes, onl...
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Cell Cycle Phases, Spindle Dynamics and Kinesin-5 Motor LocalizationCharacterized by Deep Learning, Dual Segmentation and Decision-Tree Pipeline

bioRxiv Aug 26, 2026
Three-dimensional live-cell fluorescence imaging of yeast cells is crucial for studying cell-cycle mechanics and regulation. However, extracting multi-channel phenotypes within dense cell clusters remains an image-processing bottleneck. Standard deep...
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Temporal dynamics improves machine learning-based prediction of cell state from quantitative phase imaging

bioRxiv Aug 26, 2026
Cell morphology reflects cell health and can distinguish cell-cycle stage, growth arrest, and distinct pathways of cell death. Live, label-free quantitative phase imaging (QPI) captures these features non-invasively and with high temporal resolution,...
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