Large scale statistical analysis of GEO datasets
Methodology
2014-10-10 v1 Genomics
Abstract
The problem addressed here is that of simultaneous treatment of several gene expression datasets, possibly collected under different experimental conditions and/or platforms. Using robust statistics, a large scale statistical analysis has been conducted over datasets downloaded from the Gene Expression Omnibus repository. The differences between datasets are compared to the variability inside a given dataset. Evidence that meaningful biological information can be extracted by merging different sources is provided.
Cite
@article{arxiv.1410.2585,
title = {Large scale statistical analysis of GEO datasets},
author = {Bernard Ycart and Konstantina Charmpi and Sophie Rousseaux and Jean-Jacques Fournié},
journal= {arXiv preprint arXiv:1410.2585},
year = {2014}
}