Changes

Using Bioconductor To Analyse Beadarray Data

285 bytes added, 17:30, 21 August 2009
m
no edit summary
</pre>
*You may need to alter either the ProbeID or ControlID to fit the illuminaprobe column from the sampleprobe or controlprobe datasets.
*This fits the data into the BSData dataframe. Phenotype data can be accessed by pData(BSData) and expression data can be accessed by exprs(BSData).
==Data Normalisation==
*Save these boxplots as postscript files.
==Clustering Analysis==*This fits the data into analysis will generate a euclidean distance matrix then a cluster analysis of that matrix and will show the BSData dataframedistribution between replicates. Phenotype data can be accessed by pDataIdeally similar treatments will cluster together.<pre>d = dist(t(BSData) and expression data can be accessed by exprs(BSData).quantile)))plot(hclust(d)</pre>