Cross-platform Integration of Transcriptomics Data

An increasing number of studies have profiled gene expressions in tumor specimens using distinct microarray platforms and analysis techniques. With the accumulating amount of microarray data, one of the most challenging tasks is to develop robust statistical models to integrate the findings. This article reviews some recent studies on the field. We also study the intensity similarities between data sets derived from various platforms, after appropriate rescaling of the measurements. We found that intensity and fold-change variability similarities between different platform measurements can assist the analysis of independent data sets and can produce comparable results with those obtained for the independent data set alone.