R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

R is an open-source programming language that enables effective handling of data while providing powerful graphical capabilities. This workshop series is tailored to beginners and assumes no prior ...

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

The whitepaper identifies three major pitfalls in modern bioinformatics: the compositional data trap, the mirage of feature importance, and the overreach of generative AI. Each contributes to the high ...