Probe Region Expression Estimation for RNA-Seq Data for Improved Microarray Comparability.

ABSTRACT: Rapidly growing public gene expression databases contain a wealth of data for building an unprecedentedly detailed picture of human biology and disease. This data comes from many diverse measurement platforms that make integrating it all difficult. Although RNA-sequencing (RNA-seq) is attracting the most attention, at present, the rate of new microarray studies submitted to public databases far exceeds the rate of new RNA-seq studies. There is clearly a need for methods that make it easier to combine data from different technologies. In this paper, we propose a new method for processing RNA-seq data that yields gene expression estimates that are much more similar to corresponding estimates from microarray data, hence greatly improving cross-platform comparability. The method we call PREBS

SUBMITTER: Uziela K 

PROVIDER: S-EPMC4429080 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature