chapter  22
6 Pages

Miame

ByRobert Wagner

Microarray data analysis is not only a matter of statistical methods but also a question of how to interpret the results of the performed experiment. Gene expression data are large and complex and only meaningful in the context of the specific conditions under which they have been generated. In many cases publicly available data is poorly annotated, in a way that important information about the quality of the data or about the normalization and transformation procedures are missing. This makes the interpretation and comparison of the data difficult and unreliable.