This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see SBGNview.data.
Bioconductor version: 3.16
This package contains: 1. A microarray gene expression dataset from a human breast cancer study. 2. A RNA-Seq gene expression dataset from a mouse study on IFNG knockout. 3. ID mapping tables between gene IDs and SBGN-ML file glyph IDs. 4. Percent of orthologs detected in other species of the genes in a pathway. Cutoffs of this percentage for defining if a pathway exists in another species. 5. XML text of SBGN-ML files for all pre-collected pathways.
Author: Xiaoxi Dong*, Kovidh Vegesna*, Weijun Luo
Maintainer: Weijun Luo <luo_weijun at yahoo.com>
Citation (from within R,
enter citation("SBGNview.data")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SBGNview.data")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SBGNview.data")
HTML | R Script | Supporting Datasets for SBGNview Package |
Reference Manual | ||
Text | NEWS |
biocViews | BreastCancerData, CancerData, ExperimentData, GEO, MicroarrayData, RNASeqData |
Version | 1.12.0 |
License | AGPL-3 |
Depends | R (>= 3.6) |
Imports | knitr, rmarkdown, bookdown |
LinkingTo | |
Suggests | SummarizedExperiment |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | SBGNview |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SBGNview.data_1.12.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/SBGNview.data |
Source Repository (Developer Access) | git clone [email protected]:packages/SBGNview.data |
Package Short Url | https://bioconductor.org/packages/SBGNview.data/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: