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BioTIP: An R package for characterization of Biological Tipping-Point

Bioconductor version: Release (3.18)

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))


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:

BioTIP- an R package for characterization of Biological Tipping-Point HTML R Script
Reference Manual PDF


biocViews GeneExpression, RNASeq, Sequencing, Software, Transcription
Version 1.16.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-2
Depends R (>= 3.6)
Imports igraph, cluster, psych, stringr, GenomicRanges, MASS, scran
System Requirements
URL https://github.com/xyang2uchicago/BioTIP
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Suggests knitr, markdown, base, rmarkdown, ggplot2
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BioTIP_1.16.0.tar.gz
Windows Binary BioTIP_1.16.0.zip (64-bit only)
macOS Binary (x86_64) BioTIP_1.16.0.tgz
macOS Binary (arm64) BioTIP_1.16.0.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/
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