DNA methylation-based prognosis and epidrivers in hepatocellular carcinoma
Genome-wide expression analysis of 228 hepatocellular carcinoma and 168 cirrhotic samples as part of a integrated study of gene expression and DNA-methylation de-regulation in patients with hepatocellular carcinoma Analysis of whole-genome transcriptome changes in human samples from hepatocellular carcinoma patients
Provenance — who produced it, who reused it
Linked to 38 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.
- Identification of an Immune-specific Class of Hepatocellular Car... 2017 · 1,036 cites
- HIF-1α-induced expression of m6A reader YTHDF1 drives hypoxia-in... 2021 · 381 cites
- HCCDB: A Database of Hepatocellular Carcinoma Expression Atlas 2018 · 305 cites
- IGF2 Is Up-regulated by Epigenetic Mechanisms in Hepatocellular... 2016 · 123 cites
- Early Diagnosis of Hepatocellular Carcinoma Using Machine Learni... 2020 · 97 cites
- <p>Expression profiles and prognostic significance of RNA... 2019 · 83 cites
- APEX1 is a novel diagnostic and prognostic biomarker for hepatoc... 2020 · 71 cites
30 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