AIMC Journal:
bioRxiv

Showing 1911 to 1920 of 4956 articles

Single-Cell Analysis of Microglia and Monocyte Dynamics Uncover Distinct TNF-a-driven Neuroimmune Signatures after Intracerebral Hemorrhage

bioRxiv Mar 28, 2026
Innate immune cells contribute to both secondary brain injury and repair following intracerebral hemorrhage (ICH). However, the specific signaling pathways that govern initial inflammatory and subsequent reparative myeloid programs in living patients...
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A new iterative framework for simulation-based population genetic inference with improved coverage properties of confidence intervals

bioRxiv Mar 27, 2026
Simulation-based methods such as approximate Bayesian computation (ABC) are widely used to infer the evolutionary history of populations from molecular genetic data. We describe and evaluate a new iterative method of statistical inference about model...
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Altered EEG markers of reward learning during abstinence in alcohol dependence: a probabilistic reversal learning study

bioRxiv Mar 27, 2026
Maladaptive reward learning and decision-making circuity are key factors in the onset and progression of alcohol use disorder and have therefore emerged as key targets for neuropsychological and pharmacological interventions. Probabilistic reversal l...
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Brain-Cognitive Gaps in relation to Dopamine and Health-related Factors: Insights from AI-Driven Functional Connectome Predictions

bioRxiv Mar 27, 2026
A key question in human neuroscience is to understand how individual differences in brain function relate to cognitive differences. However, the optimal condition of brain function to study between-person differences in cognition remains unclear. Whi...
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TOGGLE delineates fate and function within individual cell types via single cell transcriptomics

bioRxiv Mar 27, 2026
Cells that appear transcriptionally identical can maintain vastly different functions or fate, an enduring blind spot in single-cell transcriptomics. Here we introduce TOGGLE, a self-supervised graph diffusion framework that delineates fine-grained f...
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SuperSurv: A Unified Framework for Machine Learning Ensembles in Survival Analysis

bioRxiv Mar 27, 2026
This paper introduces SuperSurv, a user-friendly R package for building, evaluating, and interpreting ensemble models for right-censored survival data. Although many survival modeling methods are available, existing tools are often model-specific and...
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A Deep-Learning Atlas of XPO1-Mediated Nuclear Export at Proteome Scale

bioRxiv Mar 27, 2026
Exportin 1 (XPO1/CRM1) is the principal nuclear export receptor for cargos bearing hydrophobic nuclear export sequences (NESs). Dysregulation of XPO1-dependent export is implicated in cancer, neurodegeneration, and other diseases, yet a comprehensive...
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MEIsensor: a deep-learning method for mobile element insertion discovery

bioRxiv Mar 27, 2026
Mobile element insertions (MEIs) are a critical source of structural variation in the human genome, yet their accurate detection remains challenging, particularly within repetitive regions and for structurally complex insertions. While long-read sequ...
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GYDE: A collaborative drug discovery platform for AI-powered protein design and engineering

bioRxiv Mar 27, 2026
As computational tools and machine learning models for protein sciences continue to advance and proliferate, bench scientists face increasing technical challenges adopting these tools for specific applications such as drug discovery. Here we present ...
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Cortical gray matter density at age five associated with preceding early longitudinal language profiles: A Voxel-based morphometry analysis of the FinnBrain Birth Cohort Study

bioRxiv Mar 27, 2026
Previous studies exploring the connection between early language development and brain anatomy have shown that cortical areas relating to individual differences in language skills are diverse and vary depending on the age of child. However, due to la...
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