AIMC Journal:
bioRxiv

Showing 521 to 530 of 4935 articles

Uncovering High-Order Epistatic Interactions in GWAS via a Machine Learning-Based Feature Engineering Framework

bioRxiv Aug 9, 2026
Background: Genome wide association studies (GWAS) often fail to identify higher-order epistatic interactions that contribute to complex inheritance patterns of traits and diseases. While machine learning (ML) can capture nonlinear relationships, ext...
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Assessing Computational Models for Pharmacogenomic Variant Interpretation

bioRxiv Aug 9, 2026
Accurately predicting the effects of pharmacogenomic variants is essential for the development of personalized therapeutic strategies, as genetic variability can influence drug response differently across patients. Here, we assessed several computati...
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Explainable machine learning relates histological to genomic pathology

bioRxiv Aug 9, 2026
Background & Aims: Haematoxylin and eosin (H&E) staining remains the diagnostic gold standard for solid cancers, including hepatocellular carcinoma, and is increasingly complemented by genomic profiling for precision medicine. Inferring genomic alter...
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CRISMER: A transformer-based Interpretable Deep Learning Approach for Genome-wide CRISPR Cas-9 Off-Target Prediction and Optimization

bioRxiv Aug 9, 2026
CRISPR-Cas9 gene editing holds transformative promise for genetic therapies, but is hindered by off-target effects that undermine its precision and safety. To address this, we developed CRISMER, a hybrid deep-learning architecture that uses multi-bra...
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A distribution-aware and functionally relevant novel framework for generation and discovery of bioactive peptides

bioRxiv Aug 9, 2026
Recent advances in artificial intelligence have accelerated the discovery of bioactive peptides by enabling computational exploration of the vast peptide sequence space. However, existing peptide generation approaches generally rely on either distrib...
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Geometric constraints and cognitive inputs jointly shape emergent brain dynamics and topology

bioRxiv Aug 8, 2026
How the brain's physical geometry gives rise to its flexible functional repertoire remains a central question in neuroscience. Here, we trained three classes of recurrent neural networks (RNNs) on a working-memory task, forming a graded hierarchy of ...
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Flex-sweep 2.0: more flexible and faster selective sweeps detection

bioRxiv Aug 7, 2026
Flex-sweep is a convolutional neural network-based method able to detect a wide range of selective sweeps, including those thousands of generations old, from single population genomic data, while robust to background selection. Here we present a subs...
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QuantEM: An optimized platform of vision transformer-based models for segmentation and analysis of electron microscopy data

bioRxiv Aug 7, 2026
Electron microscopy (EM) is essential for resolving cellular ultrastructure, yet quantitative analysis remains limited by labor-intensive segmentation and the scarcity of generalizable models. Here we present QuantEM, an open-source platform for segm...
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Programmable Allosteric DNAzyme Coupled with CRISPR/Cas12a System for Multiplexed and Sensitive Detection of Extracellular Vesicle Derived MicroRNAs

bioRxiv Aug 7, 2026
Extracellular vesicle (EV)-derived microRNAs serve as important biomarkers for cancer diagnosis, yet their accurate detection remains limited by insufficient control of nucleic acid recognition and signal activation. Here, we identified a previously ...
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MIRA: an open source and user-friendly software to automate counting and sizing of fungal spores

bioRxiv Aug 7, 2026
Background The quantification of fungal spores constitutes a fundamental metric in phytopathology, serving as the primary variable for inoculum standardization and being used as a proxy for disease severity. Historically, spore quantification has rel...
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