|
Validation of Merging Techniques for Cancer Microarray Data Sets Authors: J. Taminau, S. Meganck and A. Nowé Publication Year: 2010 Number of Pages: 2
Abstract: There is a vast amount of gene expression data that has been gathered in microarray studies all over the world. Many of these studies use different experimentation plans, different platforms, different method- ologies, etc. Merging information of different studies is an important part of current research in bio- informatics and several algorithms have been proposed recently. There is clearly a need to create large data sets which will allow more statistically relevant analysis in order to obtain more and better results in clinical and medical research. In this article we consistently describe several gene expression data merging techniques and apply them on several cancer microarray data sets.
|
