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

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 ...

The volumes of genetic, biodiversity, and environmental data that can be obtained from individual studies are growing at an impressive rate, as are the public repositories sharing these data. Such ...

Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...

In today’s digital age, data analytics has emerged as a pivotal force shaping the landscape of industries worldwide. As ...

Harvard University has announced a set of free online data science courses, giving learners an opportunity to build skills ...

In the early 1920s, a trio of scientists sat down for a break at Rothamsted agricultural research station in Hertfordshire, UK. One of them, a statistician by the name of Ronald Fisher, poured a cup ...

How to use statistical tools for component tolerance analysis. A look at methods such as Monte Carlo and Gaussian distribution. Simulating a dc-dc converter in LTspice to model closed-loop voltage ...

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