Principal component analysis (PCA) is a mathematical algorithm that reduces the dimensionality of the data while retaining most of the variation in the data set 1. It accomplishes this reduction ...

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics. Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust ...

NiftyPET is a software platform and a Python namespace package encompassing sub-packages for high-throughput PET image reconstruction, manipulation, processing and analysis with high quantitative ...