The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Researchers at Baylor College of Medicine have developed a powerful new data analysis method named COOKIE-Pro (Covalent Occupancy Kinetic Enrichment via Proteomics) that provides a comprehensive, ...

In today's digital landscape, understanding network traffic has become crucial for effective management and security. IP traffic analysis provides valuable insights into data flow across digital ...

Scientists have developed a new method of genetic analysis, which extracts more precise data than previously used methods when looking at DNA, and will improve our understanding of the genetic basis ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...

Research from Umeå University paves the way for a quantitative data analysis method to study the cell division process in individual cells. The improved resolution will promote advanced cell analysis ...