Curated compendium of human transcriptional biomarker data.

ABSTRACT: One important use of genome-wide transcriptional profiles is to identify relationships between transcription levels and patient outcomes. These translational insights can guide the development of biomarkers for clinical application. Data from thousands of translational-biomarker studies have been deposited in public repositories, enabling reuse. However, data-reuse efforts require considerable time and expertise because transcriptional data are generated using heterogeneous profiling technologies, preprocessed using diverse normalization procedures, and annotated in non-standard ways. To address this problem, we curated 45 publicly available, translational-biomarker datasets from a variety of human diseases. To increase the data's utility, we reprocessed the raw expression data using a uni

SUBMITTER: Golightly NP 

PROVIDER: S-EPMC5903354 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature