A comprehensive and universal method for assessing the performance of differential gene expression analyses

ABSTRACT: The number of methods for pre-processing and analysis of gene expression data continues to increase, often making it difficult to select the most appropriate approach. We present a simple procedure for the comparative estimation of a variety of methods for microarray data pre-processing and analysis. Our approach is based on the use of real microarray data in which controlled fold changes are introduced into 20% of the data to provide a metric for comparison with the unmodified data. The data modification can be easily applied to raw data measured with any technological platform and retains all the complex structures and statistical characteristics of the real-world data. The power of the method is illustrated by its application to a comparative analysis of the significance analysis of mic

ORGANISM(S): Homo sapiens

SUBMITTER: Mikhail Dozmorov 

PROVIDER: E-GEOD-22630 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress