← Dataset search
Gene expression signatures for predicting prognosis of squamous cell lung carcinomas
Gene signatures were derived to separate high risk patients from low risk ones..
Provenance — who produced it, who reused it
Linked to 40 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.
Reused by
- SurvExpress: An Online Biomarker Validation Tool and Database fo... 2013 · 716 cites
- Interplay and cooperation between SREBF1 and master transcriptio... 2021 · 132 cites
- Conservation of immune gene signatures in solid tumors and progn... 2016 · 126 cites
- Systematic Analysis of Gene Expression Alteration and Co-Express... 2018 · 84 cites
- FBXO11 promotes ubiquitination of the Snail family of transcript... 2015 · 83 cites
- The microRNA-200 family targets multiple non-small cell lung can... 2013 · 82 cites
- Bioinformatics analysis of the serine and glycine pathway in can... 2014 · 79 cites
- The Mitochondrial Citrate Carrier (SLC25A1) Sustains Redox Homeo... 2018 · 78 cites
- Targeting lactate dehydrogenase a improves radiotherapy efficacy... 2021 · 75 cites
31 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
QC cost
4 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently