Difference between revisions of "Using Bioconductor To Analyse Microarray Data"
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<pre> | <pre> | ||
gds <- getGEO("GDS162") #load GDS162 dataset | gds <- getGEO("GDS162") #load GDS162 dataset | ||
| + | Meta(gds) #show extracted meta data | ||
| + | table(gds)[1:10,] #show first ten rows of dataset | ||
eset <- GDS2eset(gds) #convert to expression set | eset <- GDS2eset(gds) #convert to expression set | ||
</pre> | </pre> | ||
*see [[http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/r/geo/ Peter Cock's Page]] or [[http://www.bioconductor.org/packages/1.8/bioc/html/GEOquery.html GEOquery Documentation]] for more information. | *see [[http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/r/geo/ Peter Cock's Page]] or [[http://www.bioconductor.org/packages/1.8/bioc/html/GEOquery.html GEOquery Documentation]] for more information. | ||
Revision as of 00:03, 27 July 2009
Software Requirements
- R, get from [CRAN]
- Bioconductor, get from [Bioconductor]
- Bioconductor packages. Install as needed:
- Biobase
- GEOquery - [1]
source("http://www.bioconductor.org/biocLite.R")
biocLite("PACKAGE")
Obtaining GEO Datasets
- Open a R terminal
- Load Biobase and GEOquery packages
libary(Biobase) library(GEOquery)
- Can load:
- datasets - GDS
- measurements - GSM
- platforms - GPL
- series - GSE
gds <- getGEO("GDS162") #load GDS162 dataset
Meta(gds) #show extracted meta data
table(gds)[1:10,] #show first ten rows of dataset
eset <- GDS2eset(gds) #convert to expression set
- see [Peter Cock's Page] or [GEOquery Documentation] for more information.
