Bioconductor version: Release (3.17)
Adopting tipping-point theory to transcriptome profiles to unravel disease regulatory trajectory.
Author: Zhezhen Wang, Andrew Goldstein, Yuxi Sun, Biniam Feleke, Qier An, Antonio Feliciano, Xinan Yang
Maintainer: Yuxi (Jennifer) Sun <ysun11 at uchicago.edu>, Zhezhen Wang <zhezhen at uchicago.edu>, and X Holly Yang <xyang2 at uchicago.edu>
Citation (from within R,
enter citation("BioTIP")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("BioTIP")
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("BioTIP")
HTML | R Script | BioTIP- an R package for characterization of Biological Tipping-Point |
Reference Manual |
biocViews | GeneExpression, RNASeq, Sequencing, Software, Transcription |
Version | 1.14.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (4 years) |
License | GPL-2 |
Depends | R (>= 3.6) |
Imports | igraph, cluster, psych, stringr, GenomicRanges, MASS, scran |
LinkingTo | |
Suggests | knitr, markdown, base, rmarkdown, ggplot2 |
SystemRequirements | |
Enhances | |
URL | https://github.com/xyang2uchicago/BioTIP |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | BioTIP_1.14.0.tar.gz |
Windows Binary | BioTIP_1.14.0.zip |
macOS Binary (x86_64) | BioTIP_1.14.0.tgz |
macOS Binary (arm64) | BioTIP_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/BioTIP |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BioTIP |
Bioc Package Browser | https://code.bioconductor.org/browse/BioTIP/ |
Package Short Url | https://bioconductor.org/packages/BioTIP/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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