AIMC Journal:
bioRxiv

Showing 2641 to 2650 of 4979 articles

SpatialDINO: A Self-Supervised 3D Vision Transformer that enables Segmentation and Tracking in Crowded Cellular Environments

bioRxiv
Quantitative, time-resolved 3D fluorescence microscopy can reveal complex cellular dynamics in living cells and tissues. Broader use remains limited by the difficulty of identifying, segmenting, and tracking objects of different size and shape in cro...

Population-Scale Analysis of Frequency-Dependent Calcium Dynamics in Retinal Ganglion Cells Under Electric Field Stimulation

bioRxiv
Electric field (EF) stimulation is an emerging neuromodulatory strategy for promoting the repair and functional recovery of degenerated neural networks in neurodegenerative conditions such as glaucoma. EF stimulation therapeutic potential is thought ...

Surf2Spot: A Surface-Informed Geometry-Aware Model for Predicting Binder and Nanobody Design Hotspots

bioRxiv
Protein-protein interactions (PPIs) and nanobody-antigen interactions (NAIs) play essential roles in cellular function, yet accurate hotspot prediction remains challenging. We present Surf2Spot, a deep learning framework that integrates sequence embe...

IGF-like growth factors that couple food sensing to developmental decisions employ different release mechanisms in a single pair of C. elegans chemosensory neurons

bioRxiv
Sensory neurons modulate organismal physiology and behavior in part by releasing neuropeptides and neurotrophins or growth factors, via the dense core vesicle (DCV) pathway. The precise matching of the sensory input to the identity of released vesicl...

FoldVision: A compute-efficient atom-level 3D protein encoder

bioRxiv
Protein function emerges from three-dimensional structure, yet many large-scale protein prediction pipelines still rely solely on linear sequence embeddings. Although multiple structure-aware protein networks have been proposed, they often omit atom-...

The marine microbiome can accurately predict its chemical and biological environment

bioRxiv
The microbiome responds to physicochemical changes in the environment, making it a sensitive indicator of ecosystem status. Monitoring microbial communities in aquatic systems is therefore essential for understanding ecosystem health and responses to...

NanoSimFormer: An end-to-end Transformer-based simulator for nanopore sequencing signal data

bioRxiv
Nanopore sequencing has achieved a new standard of accuracy with the advent of R10.4.1 flow cell and high-performance Transformer-based basecalling models. However, existing signal simulators often fail to capture the complex, non-linear dynamics of ...

Threshold-Free Neural Network Models for Swim Bout Detection of Larval Zebrafish

bioRxiv
Accurate identification of swim bouts is essential for decoding motor responses in larval zebrafish, yet conventional threshold-based methods rely on subjective cutoffs and per-experiment tuning. To overcome these limitations, we developed threshold-...

Generative modeling reveals the connection between cellular morphology and gene expression

bioRxiv
The understanding of how transcriptional programs give rise to cellular morphology, and how morphological features reflect and influence cell identity and function remains limited. This is due in part to the lack of large-scale datasets pairing the t...

Phenotypic differentiation between highland and coastal quinoa under cold stress conditions

bioRxiv
Quinoa (Chenopodium quinoa Willd.) is a genetically diverse Andean crop valued for its nutrition and adaptability to varied agro-climatic conditions with potential for cultivation in European and Mediterranean, particularly on marginal lands. Low tem...