Hi, I'm an undergraduate working on a project concerning peptides.

I have data for a group of 12 peptides that were tested against 4 types of bacteria, including their molecular weights, their charges, the peaks in their circular dichroism (CD) spectra, and their hydrophobicities. I also have the data for the minimum inhibitory concentrations (MICs) required for each of the peptides to inhibit the growth of each of the bacteria.

Unfortunately, some of the MIC data is incomplete, since the tests stopped once the dosage reached >100 microM, so about 1/3 of the MIC's read '>100'.

I was wondering if anyone knew the best kinds of statistical test to use in order to identify correlations between the peptide properties data and the MIC's required, given that the data set is somewhat incomplete. Also, it would be helpful if someone knew a relevant test to find a correlation between the different MIC's of the peptides themselves.


I've already used Spearman's rank, however I'm not certain if that was the correct thing to do.