AIMC Journal:
bioRxiv

Showing 551 to 560 of 4935 articles

Deep learning-guided identification of bacteriophage receptor-binding protein candidates for foodborne pathogen detection

bioRxiv Aug 6, 2026
Foodborne pathogens including Salmonella spp., Escherichia coli and Listeria monocytogenes cause an estimated 600 million illnesses annually. Yet conventional detection methods remain slow, costly, or insufficiently specific for routine food safety s...
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Mapping the Competence Boundary of a Protein Property Model: A Case Study on Plastic-Degrading Enzymes using ProtTrust-XAI

bioRxiv Aug 6, 2026
Machine learning models for protein properties are usually reported by a single accuracy figure, which says how a model behaves on average but not whether to act on any one prediction, especially for a protein unlike anything in the training set. Tha...
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PGViS: Personal Genome Variant interpretation Score for lung cancer genomes

bioRxiv Aug 6, 2026
Inherited lung cancer risk arises from both protein-coding and non-coding germline variants, but the functional non-coding component is largely uncharacterized. Genome wide association studies and polygenic risk scores identify tag variants, not caus...
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Nup153 regulates neuronal responsiveness through HDAC1-mediated epigenetic modulation

bioRxiv Aug 6, 2026
Neural activity-dependent gene regulation is central to the development of neural networks and neuronal plasticity. Induction of activity-dependent gene programs is equally important as repression of these programs, and both need to be balanced caref...
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Learning with Recurrence Geometric AI in Spatial Transcriptomics

bioRxiv Aug 6, 2026
Cross-domain analysis of spatial transcriptomics is challenging because tissues from different organs, diseases and experimental platforms exhibit distinct cellular compositions, spatial organisations and technical biases, making direct comparison of...
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A wildlife behaviour detection model: a case study on the red-legged seriema

bioRxiv Aug 6, 2026
Object detection models based on deep learning are increasingly used to reduce the manual workload associated with the processing of video recordings in behavioural research, but reproducible workflows describing how ecologists can build such models ...
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BirdCODE: Detecting bird communication at scale

bioRxiv Aug 5, 2026
Deep learning-based animal sound identification is regularly applied to large audio datasets for ecological monitoring and citizen science, but existing methods lack the fine temporal resolution required to extract insights into animal communication ...
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Contrastive Regulatory Embeddings Attention Model for Differential Expression Prediction with Personalized Genomes: Insights and Challenges

bioRxiv Aug 5, 2026
Deep learning models applied to DNA sequences have achieved success in predicting gene expression, chromatin profiles, and variant pathogenicity. However, learning cross-individual differences remains challenging because DNA sequence variation betwee...
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In vitro and in silico characterization of competitive inhibition and repression of DUX4 target gene activation as a therapeutic approach for facioscapulohumeral muscular dystrophy (FSHD)

bioRxiv Aug 5, 2026
Facioscapulohumeral muscular dystrophy (FSHD) is a rare neuromuscular disease caused by aberrant re-expression of the embryonic transcription factor DUX4 in skeletal muscle, which activates a toxic transcriptional program that drives progressive musc...
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Reward-Based Equilibrium Propagation

bioRxiv Aug 5, 2026
Equilibrium propagation (EP) is a biologically plausible alternative to backpropagation for training neural networks. EP typically relies on free and nudged dynamical phases: during the free phase, the network relaxes toward an equilibrium state, whe...
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