Package: LipidTrend Title: LipidTrend: Analysis and Visualization of Lipid Feature Tendencies Version: 1.3.1 Authors@R: c( person("Wei-Chung", "Cheng", email="chenglabomics@gmail.com", role = c("aut","cre","cph"), comment = c(ORCID = "0000-0002-1229-4857")), person("Chia-Hsin ", "Liu", role = c("aut", "ctb")), person("Pei-Chun", "Shen", role = c("aut", "ctb")), person("Wen-Jen", "Lin", role = c("aut","ctb")), person("Hung-Ching", "Chang", role = c("aut","ctb")), person("Meng-Hsin", "Tsai", role = c("aut","ctb")) ) Description: "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. License: MIT + file LICENSE URL: https://github.com/BioinfOMICS/LipidTrend BugReports: https://github.com/BioinfOMICS/LipidTrend/issues LazyData: FALSE biocViews: Software, Lipidomics, StatisticalMethod, DifferentialExpression, Visualization 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, VignetteBuilder: knitr Encoding: UTF-8 Roxygen: list(markdown = TRUE) Collate: 'allClasses.R' 'allGenerics.R' 'analyzeLipidRegion.R' 'data.R' 'globals.R' 'LipidTrend.R' 'plotRegion1D.R' 'plotRegion2D.R' 'regionalTestFC.R' 'utils.R' Config/roxygen2/version: 8.1.0 Config/pak/sysreqs: zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-09-08 08:36:05 UTC RemoteUrl: https://github.com/bioc/LipidTrend RemoteRef: HEAD RemoteSha: 49294b2a653ca85ef4d3108533fa0173ed89aa30 NeedsCompilation: no Packaged: 2026-10-08 11:02:11 UTC; root Author: Wei-Chung Cheng [aut, cre, cph] (ORCID: ), 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