An Investigation of Biomarkers Derived from Legacy Microarray Data for Their Utility in the RNA-Seq Era

ABSTRACT: 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 coexist. 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? 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 in the analysis and examined using t

ORGANISM(S): Homo sapiens

SUBMITTER: Leming Shi 

PROVIDER: E-GEOD-62564 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress