bioRxiv

Showing 4981 to 4990 of 5029 articles

Predicting Toxicity and Bioactivity of the Chemical Exposome: A Case Study for the Blood Exposome Database

bioRxiv
Humans are exposed to thousands of chemicals throughout their life. Many of these chemicals are detected in blood and have been catalogued in the Blood Exposome Database. Comprehensive hazard assessment of a chemical requires time-consuming and costl...

Two cortical mechanisms for natural audiovisual processing

bioRxiv
Understanding how the human brain processes naturalistic audiovisual information remains a central challenge in cognitive neuroscience. Progress has been limited, however, by the difficulty of modeling complex audiovisual feature spaces - most prior ...

PKU tags, novel genetically encoded shape tags for cell labeling in light and electron microscopy

bioRxiv
Distinguishing among neuronal cell types is crucial for deciphering complex neural networks and brain functions. However, the current repertoire of cell-labeling tools compatible with light microscopy (LM) and/or electron microscopy (EM) is limited c...

Using Deep Learning with Different Architectures to Recognize RNA:DNA Triplex Structures from Histone Modification Features

bioRxiv
Long non-coding RNAs (lncRNAs) can perform their regulatory roles by forming triple helices through RNA-DNA interaction. Although this has been verified by few in vivo and in vitro methods, in silico approaches that seek to predict the potentials of ...

Self-supervised AI reveals a lethal discohesive phenotype in lung adenocarcinoma

bioRxiv
Applications of artificial intelligence (AI) to histopathology are now common, but most require supervision which inherently limits their scope. By using self-supervised learning (SSL), we discover and quantify the full range of histopathological app...

The Spatial Atlas of Human Anatomy (SAHA): A Multimodal Subcellular-Resolution Reference Across Human Organs

bioRxiv
The Spatial Atlas of Human Anatomy (SAHA) represents the first multimodal, subcellular- resolution reference of healthy adult human tissues across multiple organ systems. Integrating spatial transcriptomics, proteomics, and histological features acro...

ProAffinity++

bioRxiv
Proteins are essential biological macromolecules that play a crucial role in living organisms. Protein-protein interactions, which govern various biological processes such as signal transduction, cell metabolism, and cell growth, are key aspect of pr...

An EEG-based Multi-Scale Hybrid Attention and Squeeze Network for objective taste assessment

bioRxiv
Taste perception is central to flavor experiences. Electroencephalography (EEG) signals carry rich information about taste perception. Because these neural data are independent of verbal reports and bypassing conscious filtering, EEG holds promise as...

ECLIPSE: Exploration of Complex Ligand-Protein Interactions through Learning from Systems-level Heterogeneous Biomedical Knowledge Graphs

bioRxiv
Discovering new, efficacious molecules remains slow and costly; rigorous data science-driven systems-level approaches are therefore essential to prioritise hypotheses and de-risk drug development. In this study, we present ECLIPSE, a systems-level fr...

Cross-dataset evaluation of deep learning models for plant pest and disease diagnosis

bioRxiv
Deep learning models have shown significant potential for plant pest and disease (PPD) diagnosis; however, their real-world effectiveness is often limited by variability between datasets, where models trained on one dataset perform poorly on others c...