Supervised Normalization of Microarrays
Description
SNM is a modeling strategy especially designed for
normalizing high-throughput genomic data. The underlying
premise of our approach is that your data is a function of what
we refer to as study-specific variables. These variables are
either biological variables that represent the target of the
statistical analysis, or adjustment variables that represent
factors arising from the experimental or biological setting the
data is drawn from. The SNM approach aims to simultaneously
model all study-specific variables in order to more accurately
characterize the biological or clinical variables of interest.