Expression Profile-Defined Classification of Lung Adenocarcinoma
Expression profiles of 18,175 unique genes and three major genetic changes, p53, EGFR and K-ras, were investigated in 149 patients with non-small cell lung cancer (NSCLC), including 90 patients with adenocarcinomas (AD) to determine their relationships with various clinicopathologic features and Gene Ontology (GO) terms.
Provenance — who produced it, who reused it
Linked to 59 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.
- Identifying phenotype-associated subpopulations by integrating b... 2021 · 518 cites
- Contribution of serine, folate and glycine metabolism to the ATP... 2013 · 265 cites
- Interpretation of biological experiments changes with evolution... 2018 · 193 cites
- Robust meta-analysis of gene expression using the elastic net 2015 · 183 cites
- LCAT3, a novel m6A-regulated long non-coding RNA, plays an oncog... 2021 · 152 cites
- Natural variation of macrophage activation as disease-relevant p... 2017 · 124 cites
- ErbB2 Pathway Activation upon Smad4 Loss Promotes Lung Tumor Gro... 2015 · 93 cites
- Co-expression network analysis identifies Spleen Tyrosine Kinase... 2013 · 84 cites
- Bioinformatics analysis of the serine and glycine pathway in can... 2014 · 79 cites
- p63 regulates glutaminase 2 expression 2013 · 78 cites
- Comprehensive molecular analyses of a TNF family-based signature... 2020 · 72 cites
48 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