Transcriptional profiling of a breast cancer cell line panel using RNAseq technology
56 breast cancer cell lines were profiled to identify patterns of gene expression associated with subtype and response to therapeutic compounds.
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.
- Single sample scoring of molecular phenotypes 2018 · 580 cites
- Widespread intron retention diversifies most cancer transcriptom... 2015 · 363 cites
- Integrative analysis of public ChIP-seq experiments reveals a co... 2014 · 136 cites
- APOBEC3A is a prominent cytidine deaminase in breast cancer 2019 · 129 cites
- Competitive endogenous RNA is an intrinsic component of EMT regu... 2019 · 117 cites
- Identification of Prognostic Candidate Genes in Breast Cancer by... 2019 · 88 cites
- Assessing breast cancer cell lines as tumour models by compariso... 2015 · 81 cites
- Differential co-expression-based detection of conditional relati... 2019 · 81 cites
8 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