Gene-expression profiles of hepatitis C-related, early-stage liver cirrhosis
BACKGROUND & AIMS: Cirrhosis affects 1% to 2% of the world population and is the major risk factor for hepatocellular carcinoma (HCC). Hepatitis C cirrhosis-related HCC is the most rapidly increasing cause of cancer death in the United States. Noninvasive methods have been developed to identify patients with asymptomatic early-stage cirrhosis, increasing the burden of HCC surveillance, but biomarkers are needed to identify patients with cirrhosis who are most in need of surveillance. We investig...
Provenance — who produced it, who reused it
Linked to 11 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 Energy Metabolism Genes for the Prediction of... 2020 · 116 cites
- Crosstalk between 5-methylcytosine and N6-methyladenosine machin... 2023 · 107 cites
- Identification and Characterization of Robust Hepatocellular Car... 2021 · 75 cites
- Positive selection of somatically mutated clones identifies adap... 2023 · 74 cites
7 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
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently