LipidTrend
LipidTrend: Analysis and Visualization of Lipid Feature Tendencies
Bioconductor version: 3.23 · Package version: 1.2.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
"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
| Maintainer | Wei-Chung Cheng <chenglabomics@gmail.com> |
| Author | Wei-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] |
| License | MIT + file LICENSE |
| URL | https://github.com/BioinfOMICS/LipidTrend |
| Bug Reports | https://github.com/BioinfOMICS/LipidTrend/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, Lipidomics, Software, StatisticalMethod, Visualization |
| Package Short Url | https://bioconductor.org/packages/LipidTrend/ |
Citation
From within R, enter citation("LipidTrend"):
Wei-Chung Cheng, Chia-Hsin Liu, Pei-Chun Shen, Wen-Jen Lin, Hung-Ching Chang, Meng-Hsin Tsai. LipidTrend: LipidTrend: Analysis and Visualization of Lipid Feature Tendencies. doi:10.18129/B9.bioc.LipidTrend, R package version 1.2.0, https://bioconductor.org/packages/LipidTrend.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | LipidTrend_1.2.0.tar.gz |
| Windows binary (x86_64) | LipidTrend_1.2.0.zip |
| macOS binary (arm64) | LipidTrend_1.2.0.tgz |
| macOS binary (x86_64) | LipidTrend_1.2.0.tgz |
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