AIMC Journal:
bioRxiv

Showing 1221 to 1230 of 4956 articles

Minimally invasive measurement of maternal transcripts enables predicting the developmental potential of mammalian zygotes

bioRxiv Jun 6, 2026
Maternal transcripts are stored in the oocyte cytoplasm during oogenesis and play a pivotal role in early embryonic development after fertilization. However, specific maternal transcripts that reflect the developmental potential of embryos have not b...
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Enformer-Based Phylogenetic Tree Reconstruction

bioRxiv Jun 6, 2026
Enformer is a deep learning model trained on human and mouse genomes to predict regulatory activity from 196,608 bp DNA windows. Its trunk embeddings capture long-range cis-regulatory interactions, but whether this signal generalises across the tree ...
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Automated Retinal Dysplasia Segmentation in Mouse Optical Coherence Tomography Scans Using a UNet-Based model

bioRxiv Jun 6, 2026
Optical coherence tomography (OCT) is the state-of-the-art non-invasive imaging technique for preclinical retinopathy studies. However, manual pathology annotations in mouse OCT scans are labour-intensive and susceptible to inter-rater variability. T...
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Handshake: Partner-Specific Protein-Protein Binding Site Prediction at Scale Using ProstT5 and Cross-Chain Attention

bioRxiv Jun 6, 2026
Partner-specific protein-protein binding site prediction, identifying which residues of a protein form the interface when bound to a specific partner, remains a challenging task with significant implications for drug discovery and understanding of pr...
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Top Model Decision Tree: Selecting Segmentation Models for Reliable Quantitative Analysis in Low- and Ultralow-Dose CryoEM

bioRxiv Jun 6, 2026
Deep learning neural networks provide a powerful approach for segmenting low-contrast cryogenic electron microscopy (cryoEM) images. However, model performance can vary significantly across imaging conditions and may hinder downstream quantitative an...
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Asymmetric neural dynamics of visuospatial attention in autism spectrum disorder

bioRxiv Jun 5, 2026
Background: Selective attention enables the prioritization of behaviorally relevant information in complex sensory environments. Despite substantial evidence for altered attention in autism spectrum disorder (ASD), the neurophysiological mechanisms u...
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A collaborative submission model for building high-quality data resources at scale through partnership

bioRxiv Jun 5, 2026
Community data resources that aggregate datasets across studies are critical infrastructure for modern biomedical research, enabling large-scale analysis and the development of Artificial Intelligence (AI) models. However, building these resources in...
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Deep learning-guided design of hydrolases for crystalline PET depolymerization

bioRxiv Jun 5, 2026
Poly(ethylene terephthalate) (PET), a ubiquitous polyester used in packaging and textiles, persists in the environment due to its high crystallinity and stability, contributing substantially to global plastic pollution. Enzymatic depolymerization by ...
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A Reproducible and Extensible Benchmark of Supervised Cell Type Annotation Tools for Cytometry Data

bioRxiv Jun 5, 2026
High-dimensional cytometry technologies such as flow cytometry (FCM) and mass cytometry (CyTOF) are central to immunophenotyping in research and clinical practice. While manual gating remains the standard for cell population annotation, it is time-co...
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Mycol: A user-friendly app for automating analysis of microscopy images

bioRxiv Jun 5, 2026
Microscopy image analysis is central to modern biology, yet many available platforms remain inaccessible to non-specialist users because they require advanced technical expertise, code-based workflows, extensive setup, or paid access. This creates a ...
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