AIMC Journal:
bioRxiv

Showing 2381 to 2390 of 4979 articles

A densely sampled fMRI dataset for investigating food valuation

bioRxiv Feb 15, 2026
Subjective valuation of food rewards guides our dietary choices and is fundamental to human health and well-being. Extensive literature in human functional magnetic resonance imaging (fMRI) studies has consistently shown that a network of reward-proc...
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Multi-gene biomarkers reveal spatial organization and subpopulation-specific damage response in intrahepatic biliary epithelial cells

bioRxiv Feb 15, 2026
Background & Aims: Intrahepatic biliary epithelial cell (BEC) heterogeneity remains challenging to define. Here, we sought to identify BEC subpopulations and biomarkers in mouse liver. Methods: We performed scRNA-seq on Sox9EGFP+ liver epithelium fro...
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Predictive E-prop: A biologically inspired approach to train predictive coding-based recurrent spiking neural networks

bioRxiv Feb 15, 2026
The predictive coding framework offers a compelling model for temporal signal processing in the cortex. Recent studies explored its implementation in spiking architectures using Hebbian plasticity rules or offline learning; however, a biologically in...
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Physically Grounded Generative Modeling of All-Atom Biomolecular Dynamics

bioRxiv Feb 15, 2026
Predicting the kinetic pathways of biomolecular systems at all-atom resolution is crucial for understanding protein function and drug efficacy, yet this task is hindered by the immense computational cost of conventional molecular dynamics (MD) simula...
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Loss of competitive strength in European conifer species under climate change

bioRxiv Feb 15, 2026
Climate change is expected to alter species assemblages by affecting the outcome of competition between species. Investigating processes of competition remains challenging particularly in tree communities, as they unfold over extensive spatio-tempora...
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Inferring unobserved vector dynamics for dengue forecasting using physics-informed neural networks and mechanistic transmission models

bioRxiv Feb 14, 2026
Accurately characterising mosquito infection dynamics is essential for effective dengue prevention and control, yet these dynamics are rarely observable through routine surveillance. Here, we integrate a reduced SI-SIR transmission model with monthly...
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Cell phenotypes in the biomedical literature: a systematic analysis and text mining corpus

bioRxiv Feb 14, 2026
The variety of cell phenotypes identified by single-cell technologies is rapidly expanding, yet this knowledge is dispersed across the scientific literature and incompletely represented in structured resources. We present the CellLink corpus, a manua...
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Machine learning-guided design of artificial microRNAs for targeted gene silencing

bioRxiv Feb 14, 2026
Artificial microRNAs (amiRNAs) offer a powerful strategy for targeted gene silencing, but their rational design is limited by complex sequence-structure-processing relationships and the lack of tools capable of optimizing efficacy and specificity. To...
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MassID provides near complete annotation of metabolomics data with identification probabilities

bioRxiv Feb 14, 2026
Liquid chromatography coupled to mass spectrometry (LC/MS) is a powerful tool in metabolomics research, generating tens-of-thousands of signals from a single biological sample. However, current software solutions for unbiased assessment of metabolomi...
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evoCancerGPT: Generating Zero-Shot Single-Cell and Single-Sample Cancer Progression Through Transfer Learning

bioRxiv Feb 14, 2026
Cancer evolution is driven by complex changes in gene expression as cells transition and change states during tumorigenesis. Single-cell RNA sequencing has provided snapshot insights into how the transcriptomics of tumors evolve, but whether the exis...
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