Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE62113

GEO first seen 2018

Integrinated Omic analysis of lung cancer reveals metabolism proteome signatures with prognostic impact

Organism
Homo sapiens
Samples
30
Type
Expression profiling by arra...
Submitted
2014-10-07

Cancer results from processes prone to selective pressure and dysregulation acting along the sequence-to-phenotype continuum DNA→RNA→Protein→Disease. However, the extent to which cancer is a manifestation of the proteome is unknown. Here we present an integrated omic map representing non-small cell lung carcinoma. Dysregulated proteins not previously implicated as cancer drivers are encoded throughout the genome including but not limited to regions of recurrent DNA amplification/deletion. Cluste...

Provenance — who produced it, who reused it

Linked to 9 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
Ming-Sound TsaoChang-Qi Zhu
Reused by

7 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

Data type / assay
microarray-expr
Organism
Homo sapiens
Read type
not sequencing
Files available
TXT
Metrics (value · how obtained)
supplementary file types TXT reported
QC cost 1 s compute

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