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TransProR
View on CRAN: Click
here
Download and install TransProR package within the R console
Install from CRAN:
install.packages("TransProR")
Install from Github:
library("remotes")
install_github("cran/TransProR")
Install by package version:
library("remotes")
install_version("TransProR", "1.0.2")
Attach the package and use:
library("TransProR")
Maintained by
Dongyue Yu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.TransProR . https://github.com/SSSYDYSSS/TransProR/issues . https://github.com/SSSYDYSSS/TransProRBook . TransProR results . TransProR.pdf . TransProR . TransProR_1.0.2.tar.gz . TransProR_1.0.2.zip . TransProR_1.0.2.zip . TransProR_1.0.2.zip . TransProR_1.0.2.tgz . TransProR_1.0.2.tgz . TransProR_1.0.2.tgz . TransProR archive . https://CRAN.R-project.org/package=TransProR .
First Published: 2024-12-10
Latest Update: 2024-12-10
Description:
A tool for comprehensive transcriptomic data analysis, with a focus on transcript-level data preprocessing, expression profiling, differential expression analysis, and functional enrichment. It enables researchers to identify key biological processes, disease biomarkers, and gene regulatory mechanisms. 'TransProR' is aimed at researchers and bioinformaticians working with RNA-Seq data, providing an intuitive framework for in-depth analysis and visualization of transcriptomic datasets. The package includes comprehensive documentation and usage examples to guide users through the entire analysis pipeline. The differential expression analysis methods incorporated in the package include 'limma' (Ritchie et al., 2015, <doi:10.1093/nar/gkv007>; Smyth, 2005, <doi:10.1007/0-387-29362-0_23>), 'edgeR' (Robinson et al., 2010, <doi:10.1093/bioinformatics/btp616>), 'DESeq2' (Love et al., 2014, <doi:10.1186/s13059-014-0550-8>), and Wilcoxon tests (Li et al., 2022, <doi:10.1186/s13059-022-02648-4>), providing flexible and robust approaches to RNA-Seq data analysis. For more information, refer to the package vignettes and related publications.
How to cite:
Dongyue Yu (2024). TransProR: Analysis and Visualization of Multi-Omics Data. R package version 1.0.2, https://cran.r-project.org/web/packages/TransProR. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.0.6 (2024-12-10 22:30)
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