Hello,
I have microarray data which contains 60 samples and 150 genes. I've normalized the data and checked for missing values in R. What other pre-processing steps are required before clustering this data to identify groups of genes with similar expression patterns across all samples?
Edit:
The data came from perturbation experiments using nanostring technology which is similar to microarray technology but not actually microarray. So each of my rows is a gene and the columns are samples and this data is normalized.
Can you add details about the platform. For example Affymetrix or Agilent or Illumina ?