Range of application
Array CGH

     

      To find the gene which relative with disease utilize the aCGH detect copy number changes, especially for the cancer’s research and can explore the translation activity of gene for diacritic tool of the hereditary disease.

      In discussion cancer cell gene during the process of gene mutation change and compare with the healthy people to know the cancer’s happen and therapy. Hence we could use aCGH to analyze the chromosome and gene aberration of anomalistic patient by nature.

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Application of package in R.

DOWNLOAD  PACKAGE

http://bioconductor.org/packages/2.1/bioc/html/aCGH.html

 DOWNLOAD DATA

http://www.ncbi.nlm.nih.gov/projects/geo/gds/gds_browse.cgi?gds=82

Other CGH data in NCBI

http://www.ncbi.nlm.nih.gov/sites/entrez?db=gds&cmd=search&term=CGH

 

Code

source("http://bioconductor.org/biocLite.R")

biocLite("aCGH")

library(aCGH)

?aCGH

GSM1716<-read.table("GSM1716.txt",header=T,sep="\t",quote="",

comment.char="")

data(GSM1716)

summary(GSM1716)

sample.names(GSM1716)

phenotype(GSM1716)

plot(GSM1716)


> library(aCGH)

Loading required package: cluster

Loading required package: survival

Loading required package: splines

Loading required package: multtest

Loading required package: Biobase

Loading required package: tools

 

Welcome to Bioconductor

 

  Vignettes contain introductory material. To view, type

  'openVignette()'. To cite Bioconductor, see

  'citation("Biobase")' and for packages 'citation(pkgname)'.

 

 

Attaching package: 'aCGH'

 

 

        The following object(s) are masked from package:stats :

 

         heatmap