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
| 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 |
| Downloads rank | 126 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, Lipidomics, Software, StatisticalMethod, Visualization |
Documentation
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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