Expression Profiles of Breast Tumors from Singapore and Europe
To facilitate a better understanding of the molecular heterogeneity of breast cancer and to uncover gene-survival associations that segregate with distinct molecular subtypes, we recently compiled a meta-analytical database of over 2,000 human breast tumor expression profiles variously annotated for clinical and pathological variables and derived from various institutions worldwide. This database was utilized for the breast tumor study cited below: Nagalla, et. al., Genome Biology, 2013. While t...
Provenance — who produced it, who reused it
Linked to 41 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.
- Survival analysis across the entire transcriptome identifies bio... 2021 · 1,740 cites
- Changes of N6-methyladenosine modulators promote breast cancer p... 2019 · 168 cites
- Downregulation of long noncoding RNA MALAT1 induces epithelial-t... 2015 · 151 cites
- BreastMark: An Integrated Approach to Mining Publicly Available... 2013 · 143 cites
- Compound signature detection on LINCS L1000 big data 2015 · 89 cites
- Reprogramming of Amino Acid Transporters to Support Aspartate an... 2019 · 83 cites
- FADS1/2 control lipid metabolism and ferroptosis susceptibility... 2024 · 77 cites
33 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently