Package: lipidomeR 0.1.2

Tommi Suvitaival

lipidomeR: Integrative Visualizations of the Lipidome

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.

Authors:Tommi Suvitaival [aut, cre]

lipidomeR_0.1.2.tar.gz
lipidomeR_0.1.2.tar.gz(r-4.7-any)lipidomeR_0.1.2.tar.gz(r-4.6-any)
lipidomeR_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
lipidomeR/json (API)

# Install 'lipidomeR' in R:
install.packages('lipidomeR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • cancerlipidome - Levels of lipids in benign and malignant breast tumors in humans.
  • humanlipidome - Concentrations of lipids in a human plasma reference sample
  • liverlipidome - Levels of lipids in the human liver with or without non-alcoholic liver disease (NAFLD).

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 7 scripts 280 downloads 1 mentions 7 exports 96 dependencies

Last updated from:cdaf354700. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK174
source / vignettesOK220
linux-release-x86_64OK187
wasm-releaseOK161

Exports:compute_F_test_with_limmacompute_models_with_limmacompute_post_hoc_test_with_limmaheatmap_lipidomeheatmap_lipidome_from_limmainstall_Bioconductor_dependenciesmap_lipid_names

Dependencies:base64encBiocManagerbitbit64bslibcachemclassclicliprcpp11crayonDBIdigestdplyre1071evaluatefarverfastmapfontawesomefontBitstreamVerafontLiberationfontquiverforcatsfsgdatagdtoolsgenericsggiraphggplot2gluegmodelsgtablegtoolshavenhighrhmshtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglabelledlatticelifecyclelimmamagrittrMASSMatrixmemoisemimeminqamitoolsnlmenumDerivpillarpkgconfigplyrprettyunitsprogressproxypurrrR6rappdirsRColorBrewerRcppRcppArmadilloreadrreshape2rlangrmarkdownS7sassscalesshadowtextstatmodstringistringrsurveysurvivalsystemfontstableonetibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunyamlzoo