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High-sensitive circulating microRNA panel for early detection of hepatocellular carcinoma
A serum miRNA combination could be a powerful classifier for the detection of hepatocellular carcinoma.
Provenance — who produced it, who reused it
Linked to 13 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.
Deposited / produced by
Yusuke YamamotoShunsuke KondoJuntaro MatsuzakiMinoru EsakiTakuji OkusakaKazuaki ShimadaYoshiki MurakamiMasaru EnomotoAkihiro TamoriKen KatoYoshiaki AokiSatoko TakizawaHiromi SakamotoShumpei NiidaFumitaka TakeshitaTakahiro Ochiya
Reused by
12 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.
QC cost
22 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently