AIMC Journal:
bioRxiv

Showing 1801 to 1810 of 4956 articles

Correlation-based binocular disparity computations induce representational bottlenecks at the population level

bioRxiv Apr 23, 2026
Binocular stereopsis depends on comparing the images seen by the two eyes. Although correlation-based models explain responses of individual binocular neurons in primary visual cortex (V1), it remains elusive whether such computations can support dep...
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A transcriptomic analysis reveals shared and inducer-specific expression patterns of cellular senescence

bioRxiv Apr 23, 2026
Cellular senescence is a heterogeneous cell state induced by diverse stressors, including telomere attrition, genotoxic agents, oxidative damage, and inflammation. Despite ongoing efforts to identify conserved senescence biomarkers, it remains unclea...
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Autonomous multimodal agents enable transparent, spatiotemporal reconstruction of immune dynamics in pancreatic cancer progression

bioRxiv Apr 23, 2026
Pancreatic cancer progression is orchestrated by dynamic shifts in immune and stromal cellular ecosystems, yet the temporal and spatial principles governing these transitions remain poorly understood. Here, we present an agentic computational patholo...
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Reveal Principles of Codon Optimization via Machine Learning

bioRxiv Apr 23, 2026
High level of protein expression is usually welcomed in industry and research, and codon optimization is widely used to achieve high expression. Methods of implementing codon optimization can be divided into two branches, one is classical methods whi...
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Proximity-Aware Graph Attention Networks for Spatially Resolved Cell-Cell Inference

bioRxiv Apr 23, 2026
Cell-cell inference is a fundamental mechanism driving tissue homeostasis, immune regulation, and disease progression. Existing CCC inference tools operate on dissociated single-cell RNA-seq data, discarding the spatial constraints that govern short-...
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Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry

bioRxiv Apr 23, 2026
Lung adenocarcinoma (LUAD), the most common subtype of non-small cell lung cancer, exhibits profound histological and molecular heterogeneity. While genomic profiling has identified key oncogenic drivers and immune signatures, its use is limited by c...
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Lightning Pose 3D: an uncertainty-aware framework for data-efficient multi-view animal pose estimation

bioRxiv Apr 23, 2026
Multi-view pose estimation is essential for quantifying animal behavior in scientific research, yet current methods struggle to achieve accurate tracking with limited labeled data and suffer from poor uncertainty estimates. We address these challenge...
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An Embeddings Fusion Approach Predicts Disease State from Microbiome Features

bioRxiv Apr 23, 2026
Background Deep neural networks are a proven technique for working with high dimensional data because of their ability to draw-out meaningful patterns and create vector representations known as embeddings, which make it easier to work with learning t...
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Large Language Model Agent Enables Autonomous Machine Learning Model Building for Biomedicine

bioRxiv Apr 23, 2026
Machine learning accelerates biomedical discovery, but creating effective predictive models requires specialized human expertise and demanding manual effort. Researchers must iteratively design pipelines, select architectures, and debug code. This ch...
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Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads

bioRxiv Apr 23, 2026
A significant fraction of the microbial diversity remains unclassified, hindering our understanding of microbial roles in health and ecosystems. State-of-the-art methods like Kraken 2 perform well for taxa that are present in the database. However, t...
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