Hiiragi2013
Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages
Bioconductor version: Release (3.20)
This package contains the experimental data and a complete executable transcript (vignette) of the statistical analysis presented in the paper "Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages" by Y. Ohnishi, W. Huber, A. Tsumura, M. Kang, P. Xenopoulos, K. Kurimoto, A. K. Oles, M. J. Arauzo-Bravo, M. Saitou, A.-K. Hadjantonakis and T. Hiiragi; Nature Cell Biology (2014) 16(1): 27-37. doi: 10.1038/ncb2881."
Author: Andrzej Oles, Wolfgang Huber
Maintainer: Andrzej Oles <andrzej.oles at embl.de>
citation("Hiiragi2013")
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Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Hiiragi2013")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Hiiragi2013")
Hiiragi2013 | R Script | |
Reference Manual |
Details
biocViews | ExperimentData, MicroarrayData, ReproducibleResearch, qPCRData |
Version | 1.41.0 |
License | Artistic-2.0 |
Depends | R (>= 3.0.0), affy, Biobase, boot, clue, cluster, genefilter, geneplotter, gplots, gtools, KEGGREST, MASS, mouse4302.db, RColorBrewer, xtable |
Imports | grid, lattice, latticeExtra |
System Requirements | |
URL |
See More
Suggests | ArrayExpress, BiocStyle |
Linking To | |
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Imports Me | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | Hiiragi2013_1.41.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/Hiiragi2013 |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/Hiiragi2013 |
Package Short Url | https://bioconductor.org/packages/Hiiragi2013/ |
Package Downloads Report | Download Stats |