American Statistical Association New York City Metropolitan Area Chapter Memorial Sloan-Kettering Cancer Center Biostatistics Seminar

Data normalization is an important step in the analysis of microarray data, as systematic but non-biological variation often arise from the complicated process of a microarray experiment. Existing methods for data normalization often assume that there are few and/or symmetric differential expressions, but this assumption does not always hold. In this talk, I will give a brief review of current methods for data normalization and present a new method for normalizing heterogeneous samples.