TiDEomics
Time-course Differential Expression analysis of omics data
Bioconductor version: 3.24 · Package version: 0.99.5
TiDEomics provides a comprehensive workflow for multi-group time-course omics data analysis, analysing time-dominant, group-dominant, and group-specific temporal effects through pairwise differential expression, variance decomposition, and co-expression module analysis (WGCNA). The package integrates quality control, data processing, functional enrichment, and extensive visualisation. It supports datasets with missing values (e.g., mass spectrometry-based proteomics), and operates on SummarizedExperiment objects to ensure compatibility with the Bioconductor ecosystem.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TiDEomics") Details
| Maintainer | Tianen He <tianen.he@ndm.ox.ac.uk> |
| Author | Tianen He [aut, cre] (ORCID: <https://orcid.org/0000-0001-6864-0723>) |
| License | GPL (>= 2) |
| URL | https://github.com/hte123/TiDEomics, https://hte123.github.io/TiDEomics |
| Bug Reports | https://github.com/hte123/TiDEomics/issues |
| Downloads rank | 66 |
| Source branch | devel |
| biocViews | DifferentialExpression, GeneExpression, MassSpectrometry, MultipleComparison, Pathways, Proteomics, QualityControl, Software, TimeCourse, Transcriptomics, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | TiDEomics_0.99.5.tar.gz |
| Windows binary (x86_64) | TiDEomics_0.99.5.zip |
| macOS binary (arm64) | TiDEomics_0.99.5.tgz |
| macOS binary (x86_64) | TiDEomics_0.99.5.tgz |
Dependencies
Depends: R (>= 4.5.0)
Imports: circlize, clusterProfiler, ComplexHeatmap, dplyr, enrichplot, ggforce, ggh4x, ggplot2, ggplotify, ggpubr, ggrepel, ggridges, ggsci, limma, lme4, methods, patchwork, pbapply, PCAtools, randtests, scales, SummarizedExperiment, tibble, tidyr, Trendy, umap, WGCNA
Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.1.0), plotly, enrichR, org.Hs.eg.db, org.Mm.eg.db, msigdbr, DeeDeeExperiment