Elegant Tools for Processing and Visualization of Lipidomics Data

An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.


An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.

Reference manual

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install.packages("LipidomicsR")

0.3.6 by Hengyu Zhu, 2 years ago


https://github.com/mingshi1/LipidomicsR


Report a bug at https://github.com/mingshi1/LipidomicsR/issues


Browse source code at https://github.com/cran/LipidomicsR


Authors: Mingshi Li [aut, com] , Hengyu Zhu [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports broom, car, ggiraph, rcompanion, tidyr, cowplot, dplyr, fmsb, ggplot2, ggplotify, ggrepel, pheatmap, RColorBrewer, reshape2, scales, stringr, tidyselect, ggforce, ggsci

Depends on tidyverse


See at CRAN