An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era.

ABSTRACT:

Background

Gene expression microarray has been the primary biomarker platform ubiquitously applied in biomedical research, resulting in enormous data, predictive models, and biomarkers accrued. Recently, RNA-seq has looked likely to replace microarrays, but there will be a period where both technologies co-exist. This raises two important questions: Can microarray-based models and biomarkers be directly applied to RNA-seq data? Can future RNA-seq-based predictive models and biomarkers be applied to microarray data to leverage past investment?

Results

We systematically evaluated the transferability of predictive models and signature genes between microarray and RNA-seq using two large clinical data sets. The complexity of cross-platform sequence correspondence was considered

SUBMITTER: Su Z 

PROVIDER: S-EPMC4290828 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature