MSKCC-A Primary Lung Cancer Specimens
Develop an EGFR mutation gene expression signature to aid in predicting response and clinical outcome and to identify genes associated with the EGFR-dependent phenotype
Provenance — who produced it, who reused it
Linked to 16 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.
- Predicting and affecting response to cancer therapy based on pat... 2020 · 117 cites
- Personalized identification of altered pathways in cancer using... 2014 · 85 cites
14 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