AIMC Journal:
bioRxiv

Showing 2161 to 2170 of 4956 articles

Transcriptomic profiling of mouse mammary tumors enables prognostic and predictive biomarker discovery for human breast cancers

bioRxiv Mar 3, 2026
The development and validation of prognostic and predictive biomarkers in breast cancer is limited by the availability of well-annotated datasets linking tumor molecular features to treatment response and survival outcomes. To address this need, we g...
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Developmental and genetic modulation of evidence integration dynamics in zebrafish sensorimotor decision-making

bioRxiv Mar 3, 2026
Animals integrate information over time and maintain persistent internal representations of cues to guide decision-making. How the underlying behavioral algorithms of individual animals depend on factors such as experience, developmental stage, or ge...
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Brain Transcriptomics Across Diverse Sleep-Wake Manipulations Reveals Multiple Homeostatic Pathways in Drosophila

bioRxiv Mar 3, 2026
Sleep is governed by two processes: a circadian process that times sleep and wake and a homeostatic process that drives sleep as a function of prior wake history. Discovered in the fruit fly Drosophila, the period (per) gene is a universal cornerston...
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Improved prediction of virus-human protein-protein interactions by incorporating network topology and viral molecular mimicry

bioRxiv Mar 3, 2026
The protein-protein interactions (PPIs) between viruses and human play crucial roles in viral infections. Although numerous computational approaches have been proposed for predicting virus-human PPIs, their performances remain suboptimal and may be o...
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LLPSight: enhancing prediction of LLPS-driving proteins using machine learning and protein Language Models

bioRxiv Mar 3, 2026
In eukaryotic cells, essential functions are often confined within organelles enclosed by lipid membranes. Increasing evidence, however, highlights the role of membrane-less organelles (MLOs), formed through liquid-liquid phase separation (LLPS). MLO...
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Behavioral hierarchy without a hierarchical brain

bioRxiv Mar 3, 2026
Behavior is inherently hierarchical. The prevailing view holds that hierarchical behavior arises from the brain's hierarchical organization. However, this view is primarily derived from experiments in highly controlled laboratory settings, and it rem...
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Partial Differential Equation (PDE) Based Spatial Pharmacometrics in NONMEM: Method of Lines (MOL) Implementation With AI-Assisted Model Development

bioRxiv Mar 3, 2026
Spatial heterogeneity in drug distribution, particularly within solid tumors, can compromise target engagement and drive therapeutic failure in oncology, yet it is rarely represented in population pharmacokinetic (PopPK) analyses. Standard empirical ...
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Minimal biophysical rules are sufficient for the emergence of computational intelligence at the neuronal scale

bioRxiv Mar 3, 2026
How intelligence emerges from the brain's complex microscopic physical system is a central question for neuroscience and artificial intelligence. Constrained by the genomic bottleneck that precludes synapse-by-synapse specification, we propose and va...
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Structure, disorder, and dynamics in task-trained recurrent neural circuits

bioRxiv Mar 3, 2026
Across many brain areas, neurons produce heterogeneous, seemingly disordered responses. Yet the circuits these neurons comprise cannot be purely random; they must possess some structure to generate representations and computations underlying behavior...
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Evaluating Few-Shot Meta-Learning using STUNT for Microbiome-Based Disease Classification

bioRxiv Mar 3, 2026
The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine learning models trained on metagenomic data are often constrained by limited sample sizes and poor cross-cohort generalizability. Meta-learning, a ma...
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