Two-dimensional quaternion principal component analysis (2D-QPCA) is one of the successful dimensionality reduction methods for color face recognition. However, 2D-QPCA is sensitive to outliers. For ...

An LC×LC–HRMS method was developed for the characterization of phenolic compounds in cannabis, with flavoalkaloids identified for the first time.

A PyQt5 application for plotting and saving 2D data visualizations from CSV files with customizable plot and background colors, line thickness, and support for a dark theme.

SCellBOW is a language model-based scRNA-seq analysis method that identifies malignant cell subpopulations and infers marker-free survival risks using transfer learning.