TOAST
Tools for the analysis of heterogeneous tissues
Bioconductor version: 3.23 · Package version: 1.26.0
This package is devoted to analyzing high-throughput data (e.g. gene expression microarray, DNA methylation microarray, RNA-seq) from complex tissues. Current functionalities include 1. detect cell-type specific or cross-cell type differential signals 2. tree-based differential analysis 3. improve variable selection in reference-free deconvolution 4. partial reference-free deconvolution with prior knowledge.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TOAST") Details
| Maintainer | Ziyi Li <zli16@mdanderson.org> |
| Author | Ziyi Li and Weiwei Zhang and Luxiao Chen and Hao Wu |
| License | GPL-2 |
| Bug Reports | https://github.com/ziyili20/TOAST/issues |
| Downloads rank | 850 |
| Source branch | RELEASE_3_23 |
| biocViews | DNAMethylation, DifferentialExpression, DifferentialMethylation, Epigenetics, GeneExpression, GeneTarget, MethylationArray, Microarray, Software |
Documentation
Download
Dependencies
Depends: R (>= 3.6), EpiDISH, limma, nnls, quadprog
Imports: stats, methods, SummarizedExperiment, corpcor, doParallel, parallel, ggplot2, tidyr, GGally
Suggests: BiocStyle, knitr, rmarkdown, gplots, matrixStats, Matrix
Reverse dependencies
Imports Me (3): cypress, MICSQTL, RegionalST