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lipidomeR
View on CRAN: Click
here
Download and install lipidomeR package within the R console
Install from CRAN:
install.packages("lipidomeR")
Install from Github:
library("remotes")
install_github("cran/lipidomeR")
Install by package version:
library("remotes")
install_version("lipidomeR", "0.1.2")
Attach the package and use:
library("lipidomeR")
Maintained by
Tommi Suvitaival
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-15
Latest Update: 2020-03-15
Description:
Create lipidome-wide heatmaps of statistics with the 'lipidomeR'.
The 'lipidomeR' provides a streamlined pipeline for the systematic
interpretation of the lipidome through publication-ready visualizations
of regression models fitted on lipidomics data.
With 'lipidomeR', associations between covariates and the lipidome
can be interpreted systematically and intuitively through heatmaps, where
lipids are categorized by the lipid class and are presented on
two-dimensional maps organized by the lipid size and level of saturation.
This way, the 'lipidomeR' helps you gain an immediate understanding of
the multivariate patterns in the lipidome already at first glance.
You can create lipidome-wide heatmaps of statistical associations, changes,
differences, variation, or other lipid-specific values.
The heatmaps are provided with publication-ready quality and the results
behind the visualizations are based on rigorous statistical models.
How to cite:
Tommi Suvitaival (2020). lipidomeR: Integrative Visualizations of the Lipidome. R package version 0.1.2, https://cran.r-project.org/web/packages/lipidomeR. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for lipidomeR
Functions, R codes and Examples using
the lipidomeR R package
Some associated functions: cancerlipidome . compute_F_test_with_limma . compute_models_with_limma . compute_post_hoc_test_with_limma . heatmap_lipidome . heatmap_lipidome_from_limma . humanlipidome . install_Bioconductor_dependencies . liverlipidome . map_lipid_names .
Some associated R codes: cancerlipidome-data.R . compute_F_test_with_limma.R . compute_models_with_limma.R . compute_post_hoc_test_with_limma.R . heatmap_lipidome.R . heatmap_lipidome_from_limma.R . humanlipidome-data.R . install_lipidomeR_dependencies.R . liverlipidome-data.R . map_lipid_names.R . print_tables_from_limma.R . utility.R . Full lipidomeR package functions and examples
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