Registration Open for Bioc2024 July 24-26


Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages

Bioconductor version: Release (3.19)

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>

Citation (from within R, enter citation("Hiiragi2013")):


To install this package, start R (version "4.4") 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:

Hiiragi2013 PDF R Script
Reference Manual PDF


biocViews ExperimentData, MicroarrayData, ReproducibleResearch, qPCRData
Version 1.40.0
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
See More
Suggests ArrayExpress, BiocStyle
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package Hiiragi2013_1.40.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
Package Short Url
Package Downloads Report Download Stats