To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Hiiragi2013")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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 (2013). doi:10.1038/ncb2881"
Author: Andrzej Oles, Wolfgang Huber
Maintainer: Andrzej Oles <andrzej.oles at embl.de>
Citation (from within R,
enter citation("Hiiragi2013")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Hiiragi2013")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Hiiragi2013")
R Script | Hiiragi2013 | |
Reference Manual |
biocViews | ExperimentData |
Version | 0.99.14 |
License | Artistic-2.0 |
Depends | R (>= 3.0.0), affy, Biobase, boot, clue, cluster, genefilter, geneplotter, gplots, grid, gtools, KEGGREST, lattice, latticeExtra, MASS, mouse4302.db, RColorBrewer, xtable |
Imports | |
Suggests | ArrayExpress, BiocStyle |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | Hiiragi2013_0.99.14.tar.gz |
Windows Binary | Hiiragi2013_0.99.14.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | Hiiragi2013_0.99.14.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!