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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Hiiragi2013")
In most cases, you don't need to download the package archive at all.
Hiiragi2013
|
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Hiiragi2013.
Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages
Bioconductor version: 3.4
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 (from within R,
enter citation("Hiiragi2013")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Hiiragi2013")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Hiiragi2013")
| R Script | Hiiragi2013 | |
| Reference Manual |
Details
| biocViews | ExperimentData, MicroarrayData, ReproducibleResearch, qPCRData |
| Version | 1.10.0 |
| 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 |
| LinkingTo | |
| Suggests | ArrayExpress, BiocStyle |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | Hiiragi2013_1.10.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.9 (Mavericks) | |
| Subversion source | (username/password: readonly) |
| Package Short Url | http://bioconductor.org/packages/Hiiragi2013/ |
| Package Downloads Report | Download Stats |
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