Corpus 1,276 assessed · 1,177 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE36968

GEO first seen 2014

AMPKα Modulation in Cancer Progression: Multilayer Integrative Analysis of the Whole Transcriptome in Asian Gastric Cancer

Organism
Homo sapiens
Samples
55
Type
Expression profiling by high...
Submitted
2012-03-30

Gastric cancer is the most common cancer in Asia and most developing countries. To identify the molecular underpinnings of gastric cancer in the Asian population, we applied an RNA-sequencing approach to gastric tumor and noncancerous specimens to quantitatively characterize the entire transcriptome of gastric cancer (including mRNAs and microRNAs). A multi-layer analysis was then developed to identify multiple types of transcriptional aberrations associated with different stages of gastric canc...

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.

Deposited / produced by
Yon H KimHan LiangXiuping LiuJu-Seog LeeJae Y ChoJae-Ho CheongHoguen KimMin LiThomas J DowneyMatthew D DyerYongming SunJingtao SunEllen M BeasleyHyun C ChungSung H NohJohn N WeinsteinChang-Gong LiuGarth Powis
Reused by

6 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 23 s compute

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