Expression profiling of murine DCIS and invasive ductal breast carcinoma
Murine healthy tissue samples, DCIS and invasive mammary tumors were analyzed in order to identify marker genes which show enhanced expresssion in DCIS and invasive ductal carcinomas. Using this approach, we were able to identify a set of genes which might allow a better detection of DCIS and invasive carcinomas in the future.
Provenance — who produced it, who reused it
Linked to 3 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.
- Breast cancer signatures for invasiveness and prognosis defined... 2012 · 363 cites
- Age-Specific Gene Expression Signatures for Breast Tumors and Cr... 2013 · 148 cites
- A genomic analysis of mouse models of breast cancer reveals mole... 2014 · 83 cites
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