https://github.com/cran/gss
Tip revision: 631a8db183a335a57e21f4fa278204a741ed9161 authored by Chong Gu on 02 January 2012, 00:00:00 UTC
version 2.0-7
version 2.0-7
Tip revision: 631a8db
esc.Rd
\name{esc}
\alias{esc}
\title{Embryonic Stem Cell from Mouse}
\description{
Data concerning mouse embryonic stem cell gene expression and
transcription factor association strength.
}
\usage{data(esc)}
\format{
A data frame containing 1027 genes with the following variables.
\tabular{ll}{
\code{y1} \tab Gene expression after 4 days.\cr
\code{y2} \tab Gene expression after 8 days.\cr
\code{y3} \tab Gene expression after 14 days.\cr
\code{klf4} \tab Score of TFAS with KLF4.\cr
\code{nanog} \tab Score of TFAS with NANOG.\cr
\code{oct4} \tab Score of TFAS with OCT4.\cr
\code{sox2} \tab Score of TFAS with SOX2.\cr
\code{clusterID} \tab Cluster identification.\cr
}
}
\references{
Gu, C. and Ma, P. (2010), Nonparametric regression with
cross-classified responses. Manuscript.
Cai, J., Xie, D., Fan, Z., Chipperfield, H., Marden, J., Wong,
W. H., and Zhong, S. (2010), Modeling co-expression across species
for complex traits: insights to the difference of human and mouse
embryonic stem cells. \emph{PLoS Computational Biology}, \bold{6},
e1000707.
Ouyang, Z., Zhou, Q., and Wong, W. H. (2009), chip-seq of
transcription factors predicts absolute and differential gene
expression in embryonic stem cells. \emph{Proceedings of the
National Academy of Sciences of USA}, \bold{106}, 21521--21526.
}
\keyword{datasets}