Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE76427

GEO first seen 2017

Microarray expression data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients

Organism
Homo sapiens
Samples
167
Type
Expression profiling by arra...
Submitted
2015-12-30

Here we aimed to develop a new molecular prognostic stratification system for hepatocellular carcinoma (HCC) patients after liver resection based on common prognostic factors for primary tumors (PTs) and adjacent non-tumor tissues (ANTTs). We studied global mRNA expression profiles from 115 PT tissue samples and 52 ANTT samples derived from 115 HCC patients. Methods for the study included gene expression analysis, Functional Annotation/Gene Ontology analysis and unsupervised survival prognosis a...

Provenance — who produced it, who reused it

Linked to 187 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
Oleg V GrinchukSurya P YenamandraVladimir A Kuznetsov
Reused by

63 further papers cite this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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 5 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently

Scientific quality

Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.

1 studies use it mean score 66