AIMC Journal:
bioRxiv

Showing 21 to 30 of 4918 articles

DiverScan: attention-guided exploratory analysis of animal behaviour across diverse comparative experiments

bioRxiv Oct 8, 2026
High-throughput tracking yields rich time-series data of animal behaviour, yet extracting biological insight remains a bottleneck, even for simple control--treatment comparisons. Existing analyses struggle to pinpoint the multiple, nonlinearly intert...
View on bioRxiv DOI

InfluProto: Predicting Cross-Species Transmission of Influenza A Virus via Prototype Learning

bioRxiv Oct 8, 2026
Zoonotic influenza A viruses pose constitute a significant persistent threat to global public health, yet quantitative approaches for assessing their cross-species transmission potential remain limited. Here, we present InfluProto, a deep learning mo...
View on bioRxiv DOI

Machine learning classifies subcellular Golgi morphology from imaging flow cytometry during inflammatory activation: an exploratory study

bioRxiv Oct 8, 2026
Inflammatory activation remodels the Golgi apparatus to meet increased secretory demand, yet whether these structural changes carry computationally accessible information about immune cell state has not been explored. Here we show that machine learni...
View on bioRxiv DOI

Impaired value estimation over space explains turn-induced freezing of gait in Parkinson's disease: A cortico-basal ganglia-inspired reinforcement learning model

bioRxiv Oct 8, 2026
Parkinson's disease (PD) gait is characterized by reduced walking speed, short shuffling steps, increased double stance time, and increased step time variability. The most debilitating symptom in PD is freezing of gait (FOG), a context-dependent loco...
View on bioRxiv DOI

Diffusion-Based Inference for Heterogeneous Multichannel Fluorescence Imaging

bioRxiv Oct 7, 2026
Fluorescence microscopy is a central tool in biomedical image analysis, but its practical use is often constrained by incomplete and heterogeneous data. This is especially true in rare disease research, where patient cohorts are small, biological mat...
View on bioRxiv DOI

AntiCapt: Fine-Tuned Nucleotide Language Models for Predicting and Designing Anticancer Aptamers

bioRxiv Oct 7, 2026
Over the past decade, aptamers have emerged as promising therapeutics, with cancer therapeutics as a major research area. Existing computational methods, however, either predict aptamer-target pairs or design aptamers against a specific target. In th...
View on bioRxiv DOI

Causal event structure shapes convergent reactivation signatures in human cortex and language model

bioRxiv Oct 7, 2026
Humans adapt to changing environments by understanding the latent causal structure of events, and modern large language models (LLMs) increasingly exhibit analogous abilities. However, elucidating how causal knowledge is represented and integrated in...
View on bioRxiv DOI

Desktop iDMS: A stand-alone application of intelligent differential mobility spectrometry (iDMS), a neural net-work that predicts optimal separation and compensa-tion voltages for field asymmetric differential ion mobil-ity spectrometry

bioRxiv Oct 7, 2026
Summary: Mass spectrometry resolution of glycosphingolipids requires advanced separation methods. The virtual-ly identical structures of glycolipid epimers cannot be discriminated by routine multiple reaction monitoring-high-performance liquid chroma...
View on bioRxiv DOI

Single-Cell Behavioromics Enables Fate Prediction of Individual Hematopoietic Stem Cells

bioRxiv Oct 7, 2026
Achieving near-single-cell precision in the prospective identification of long-term engrafting hematopoietic stem cells (LT-HSCs) remains challenging, likely because current static, point-in-time single-cell phenotyping technologies do not capture th...
View on bioRxiv DOI

A piece-wise linear recurrent neural network identifies generalizable dynamics from neural activity during decision-making in rodents

bioRxiv Oct 7, 2026
Alterations in impulsivity characterize several neuropsychiatric disorders, however the neural processes that underlie an impulsive choice have not been identified. A recent body of literature suggests that there may be generalizable aspects of neura...
View on bioRxiv DOI
Popular Topics
Popular Journals