# Colon

From cepp v1.7
0th

Percentile

##### Gene expression data from Alon et al. (1999)

Gene expression data (2000 genes for 62 samples) from the microarray experiments of Colon tissue samples of Alon et al. (1999).

Keywords
datasets
##### Usage
data(Colon)
##### Details

This data set contains 62 samples with 2000 genes: 40 tumor tissues, coded 2 and 22 normal tissues, coded 1.

##### Value

A list with the following elements:
X
a (62 x 2000) matrix giving the expression levels of 2000 genes for the 62 Colon tissue samples. Each row corresponds to a patient, each column to a gene.
Y
a numeric vector of length 62 giving the type of tissue sample (tumor or normal).
gene.names
a vector containing the names of the 2000 genes for the gene expression matrix X.

##### Source

The data are described in Alon et al. (1999) and can be freely downloaded from http://microarray.princeton.edu/oncology/affydata/index.html.

##### References

Alon, U. and Barkai, N. and Notterman, D.A. and Gish, K. and Ybarra, S. and Mack, D. and Levine, A.J. (1999). Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays, Proc. Natl. Acad. Sci. USA, 96(12), 6745--6750.

• Colon
##### Examples
# how many samples and how many genes ?
data(Colon)
dim(Colon$X) norm <- Colon$X[Colon$Y == 1,] tumor <- Colon$X[Colon\$Y == 2,]
gene1 <- pp(r=2,n=50,oth=tumor,data=norm,k=2)
F1  <- basis_random(2000)
gene1(F1)
t1  <- caller(start=F1, index=gene1, n=rep(3,5), bases=5)

Documentation reproduced from package cepp, version 1.7, License: GPL-3

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