An Investigation of Biomarkers Derived from Legacy Microarray Data for Their Utility in the RNA-Seq Era
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 microarra...
Provenance — who produced it, who reused it
Linked to 41 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Natural Killer–Derived Exosomal miR-186 Inhibits Neuroblastoma G... 2018 · 315 cites
- Identification of GPC2 as an Oncoprotein and Candidate Immunothe... 2017 · 228 cites
- Metabolic Reprogramming by MYCN Confers Dependence on the Serine... 2019 · 114 cites
- TBX2 is a neuroblastoma core regulatory circuitry component enha... 2018 · 111 cites
36 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently