bioRxiv

Showing 3941 to 3950 of 5016 articles

SpliceSelectNet: A Hierarchical Transformer-Based Deep Learning Model for Splice Site Prediction

bioRxiv Jan 1, 2025
Accurate RNA splicing is essential for gene expression and protein function, yet the mechanisms governing splice site recognition remain incompletely understood. Aberrant splicing caused by mutations can lead to severe diseases, including cancer and ...
View on bioRxiv DOI

Visual Regularities Underlie Hierarchical Object Representations in the Human Brain and Self-supervised DNN

bioRxiv Jan 1, 2025
NeuroAI develops the interplay of neuroscience and artificial intelligence, especially on visual processing. Human visual system organizes objects based on a representational hierarchy. However, it remains unclear whether this hierarchy arises from v...
View on bioRxiv DOI

YeastSAM: A Deep Learning Model for Accurate Segmentation of Budding Yeast Cells

bioRxiv Jan 1, 2025
An essential step for quantitative image analysis is cell segmentation, which is the process of defining the outline of individual cells in microscopy images. Segmentation of budding yeast is challenging due to their asymmetric cell division and moth...
View on bioRxiv DOI

Multitasking Recurrent Networks Utilize Compositional Strategies for Control of Movement

bioRxiv Jan 1, 2025
The brain and body comprise a complex control system that can flexibly perform a diverse range of movements. Despite the high-dimensionality of the musculoskeletal system, both humans and other species are able to quickly adapt their existing reperto...
View on bioRxiv DOI

Beyond Microbial Abundance: Metadata Integration Enhances Disease Prediction in Human Microbiome Studies

bioRxiv Jan 1, 2025
Multiple studies have highlighted the human microbiome’s potential as a biomarker for diagnosing diseases through its interaction with systems like the gut, immune, liver, and skin via key axes. Advances in sequencing technologies and highperformance...
View on bioRxiv DOI

Model-based and model-free valuation signals in the human brain vary markedly in their relationship to individual differences in behavioral control

bioRxiv Jan 1, 2025
Human action selection under reinforcement is thought to rely on two distinct strategies: model-free and model-based reinforcement learning. While behavior in sequential decision-making tasks often reflects a mixture of both, the neural basis of indi...
View on bioRxiv DOI

A subtype of ultrasonic vocalizations during highly palatable food consumption in rats identified by machine learning–assisted classification

bioRxiv Jan 1, 2025
Identifying behavioral and physiological responses to rewarding stimuli is essential for understanding positive emotional states in animals and for investigating their neural basis. Ultrasonic vocalizations (USVs) in rats are modulated by various beh...
View on bioRxiv DOI

FibroTrack: A Standalone Deep Learning Platform for Automated Fibrosis Quantification in Muscle and Cardiac Histology

bioRxiv Jan 1, 2025
Accurate fibrosis quantification is essential for understanding muscle and cardiac disease, yet current manual and semi–automated methods remain slow, subjective, and poorly reproducible. We introduce FibroTrack, a standalone deep learning platform w...
View on bioRxiv DOI

PI-FC: Pre-training Individual-specific Functional Connectome through State-invariant Contrastive Learning

bioRxiv Jan 1, 2025
Functional MRI enables non-invasive mapping of brain connectivity, yet its clinical translation remains hindered by uncontrolled state-dependent variability that obscures individual-specific signatures during routine scanning. Here we introduce PI-FC...
View on bioRxiv DOI

CellProphet: Dissecting Virtual Cell Differentiation through AI-Powered Dynamic Gene Regulatory Network Inference

bioRxiv Jan 1, 2025
The AI Virtual Cell (AIVC) framework promises to revolutionize biological research through high-fidelity simulations of cellular behaviors and responses to perturbations. Central to realizing this vision is the ability to model cell differentiation d...
View on bioRxiv DOI
Popular Topics
Popular Journals