← Dataset search
Molecular Profiles of Human Breast Cancer and Their Association with Tumor Subtypes and Disease Prognosis (Affymetrix)
This study identified DNA methylation patterns that were associated with tumor subtypes, disease outcome, and distinct metabolome and gene expression patterns.
Provenance — who produced it, who reused it
Linked to 25 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
Atsushi TerunumaRobert S HudsonStefan Ambs
Reused by
- Tissue-specific and convergent metabolic transformation of cance... 2016 · 402 cites
- Urea Cycle Dysregulation Generates Clinically Relevant Genomic a... 2018 · 298 cites
- Comprehensive molecular biomarker identification in breast cance... 2017 · 226 cites
- bc-GenExMiner 4.5: new mining module computes breast cancer diff... 2021 · 222 cites
- Biological and Clinical Significance of MAD2L1 and BUB1, Genes F... 2015 · 98 cites
- A CREB3-regulated ER–Golgi trafficking signature promotes metast... 2017 · 73 cites
16 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
Data type / assay
microarray-expr
Organism
Homo sapiens
Read type
not sequencing
Files available
CEL
Metrics (value · how obtained)
supplementary file types
CEL
reported
QC cost
5 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently