This is the development version of LipidTrend; to use it, please install the devel version of Bioconductor.
LipidTrend: Analysis and Visualization of Lipid Feature TendenciesBioconductor version: Development (3.22)
"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.
Author: Wei-Chung Cheng [aut, cre, cph] ORCID: 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]
Maintainer: Wei-Chung Cheng <chenglabomics at gmail.com>
Citation (from within R, entercitation("LipidTrend")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("LipidTrend")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("LipidTrend")
Details biocViews DifferentialExpression, Lipidomics, Software, StatisticalMethod, Visualization Version 0.99.1 In Bioconductor since BioC 3.22 (R-4.5) License MIT + file LICENSE Depends R (>= 4.5.0) Imports dplyr, ggnewscale, ggplot2, magrittr, methods, rlang, SummarizedExperiment System Requirements URL https://github.com/BioinfOMICS/LipidTrend Bug Reports https://github.com/BioinfOMICS/LipidTrend/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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