A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

A new analysis of scientific practices suggests that a researcher’s personal political views may influence the results they obtain when analyzing complex data. The study provides evidence that when ...

A study highlights the most dangerous Southern US intersections using comprehensive crash data from 2019 through 2023, ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Metabolomics has experienced significant growth and increased popularity due to technological advancements. We introduced an integrated tool for untargeted metabolomics analysis, SMART 1.0, that ...

Abstract: With the rapid development of online education, video-based learning has become a significant mode of learning. However, existing video learning tools often fail to fully meet learners' ...

AI and ML are transforming chromatography by enhancing data analysis, particularly in complex environmental samples. Hamilton highlights ML's potential in non-target analysis, enabling deeper insights ...