Gene expression study in hepatocellular carcinoma
Gene expression data from 100 human hepatocellular carcinomas (HCC) were generated and analyzed as part of effort for validating prognostic gene expression signatures from previous studies. Using four different classification algorithms and leave-one-out cross-validation approaches, four different prognostic signatures were applied to test the robustness and concordance of predicted outcome in individual patients. All four tumor-derived signatures were significantly associated with prognosis an...
Provenance — who produced it, who reused it
Linked to 7 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.
- Inactivation of Hippo Pathway Is Significantly Associated with P... 2015 · 124 cites
- MicroRNA-31 functions as a tumor suppressor by regulating cell c... 2015 · 108 cites
- Oncogenic potential of histone-variant H2A.Z.1 and its regulator... 2016 · 83 cites
4 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