EGFR and MEK pathway signature RNA-Seq datasets
EGFR and MEK pathways were activated alone or in combination in human mammary epithelial cells. We profiled the pathway gene expression signatures using RNA-Seq.
Provenance — who produced it, who reused it
Linked to 4 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.
- ComBat-seq: batch effect adjustment for RNA-seq count data 2020 · 1,681 cites
- Alternative empirical Bayes models for adjusting for batch effec... 2018 · 122 cites
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq (Homo sapiens). A grade, excellent for reuse. Exceptional base quality (Q30=97.7%, mean Q=38.3) combined with zero adapter contamination ensures highly reliable transcript quantification across the full dynamic range.
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.