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, ...

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 ...

Scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called 'ehrapy' enables researchers to ...

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 ...

As the complexity of integrated circuit (IC) designs continues to rise, the task of verifying these designs has become increasingly challenging. The pace of this growth is staggering, with design ...

An intelligent inversion framework for soil parameters in deep excavations is established by using BIM technology, finite difference method (FDM), and nondominated sorting genetic algorithm II ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...