We developed an approach for correlating microarray patterns and clinical covariates (continuous or categorical) using the mantel correlation measure.  Our Genetic Epidemiology paper can be downloaded from http://ilya.wustl.edu/~shannon/MantelPaper.pdf and I would be happy to find the code for this analysis if you are interested.
   
  This is a distance-based method so if you are not familiar with cluster analysis you can read our tutorial from Pharmacogenomics that can be downloaded from http://ilya.wustl.edu/~shannon/pharmacogenomics.pdf
   
  Hope this helps.
   
  Bill Shannon
  Washington Univ. School of Medicine
  http://ilya.wustl.edu/~shannon

David K Pritchard <dpritch@u.washington.edu> wrote:
  We are currently working on a microarray project where we have to correlate both clinical and morphological (MRI) data with human expression data. Much of the data is in the form of continuous variables. While it can be turned into the categorical classifications most often used in array analysis, we would also like to look for correlations between the continuous variables and gene expression patterns.
Does anyone on this list know of any good references on this subject? Also are there any existing Bioconductor packages which support this kind of analysis.

thanks

David Pritchard
Research Scientist
Dept. of Pathology
University of Washington

_______________________________________________
Bioconductor mailing list
Bioconductor@stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/bioconductor
Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor


	[[alternative HTML version deleted]]

