Human whole blood microarray study to compare patients with tuberculosis, sarcoidosis, pneumonia, and lung cancer
This SuperSeries is composed of the SubSeries listed below. [Third party comment] Samples with identical non-normalized expression values are identified at: https://colab.research.google.com/drive/1swvQGf-ZLAWnZw-7bOCmsypzzAnCDGUR#scrollTo=mIqv_oTHc6ns
Provenance — who produced it, who reused it
Linked to 19 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.
- Host gene expression classifiers diagnose acute respiratory illn... 2016 · 268 cites
- A modular transcriptional signature identifies phenotypic hetero... 2018 · 239 cites
- Concise gene signature for point‐of‐care classification of tuber... 2015 · 146 cites
16 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
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.