Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age
Background: Glioblastomas are the most common primary brain tumour in adults. While the prognosis for patients is poor, gene expression profiling has detected signatures that can sub-classify GBMs relative to histopathology and clinical variables. One category of GBM defined by a gene expression signature is termed ProNeural (PN), and has substantially longer patient survival relative to other gene expression-based subtypes of GBMs. Age of onset is a major predictor of the length of patient...
Provenance — who produced it, who reused it
Linked to 30 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.
- Sex differences in GBM revealed by analysis of patient imaging,... 2019 · 360 cites
- Removing batch effects for prediction problems with frozen surro... 2014 · 88 cites
- Weighted Frequent Gene Co-expression Network Mining to Identify... 2012 · 86 cites
- Expression Profile Analysis Identifies a Novel Five-Gene Signatu... 2019 · 84 cites
26 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