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Genome-wide analysis of gene expression patterns in human prostate cancer (PCa)
To investigate the mechanisms of PCa progression, we performed expression profiling of human prostate cancer and benign tissues.
Provenance — who produced it, who reused it
Linked to 29 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
Klaus JungHellmuth Meyer
Reused by
- Identification of hub genes in prostate cancer using robust rank... 2019 · 134 cites
- TMBIM6/BI-1 contributes to cancer progression through assembly w... 2020 · 80 cites
27 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
2 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently