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LipidTrend

LipidTrend: Analysis and Visualization of Lipid Feature Tendencies

Bioconductor version: 3.23 · Package version: 1.2.0

"LipidTrend" is an R package that implements a permutation-based statistical test to identify significant differences in lipidomic features between groups. The test incorporates Gaussian kernel smoothing of region statistics to improve stability and accuracy, particularly when dealing with small sample sizes. This package also includes two plotting functions for visualizing significant tendencies in 1D and 2D feature data, respectively.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("LipidTrend")

Details

MaintainerWei-Chung Cheng <chenglabomics@gmail.com>
AuthorWei-Chung Cheng [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-1229-4857>), Chia-Hsin Liu [aut, ctb], Pei-Chun Shen [aut, ctb], Wen-Jen Lin [aut, ctb], Hung-Ching Chang [aut, ctb], Meng-Hsin Tsai [aut, ctb]
LicenseMIT + file LICENSE
URLhttps://github.com/BioinfOMICS/LipidTrend
Bug Reportshttps://github.com/BioinfOMICS/LipidTrend/issues
Downloads rank126
Source branchRELEASE_3_23
biocViewsDifferentialExpression, Lipidomics, Software, StatisticalMethod, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.5.0)

Imports: dplyr, ggnewscale, ggplot2, magrittr, methods, rlang, SummarizedExperiment, matrixTests

Suggests: BiocStyle, devtools, knitr, roxygen2, rmarkdown, testthat (>= 3.0.0), S4Vectors

Enhances: data.table