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

Modern high-throughput proteomics experiments produce huge amounts of data which, in raw form, provide little usable information about biological processes. With such large quantities of data, manual ...

The data clinics help faculty, postdocs and students solve problematic scientific and computational issues that arise in their research. Our informal clinics are free and devoted to employing and ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

Statistics, biostatistics, and data science are closely related fields. Broadly, they all teach a set of mathematical and computational skills for analysis and modeling of data, as well as ...

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 ...