Blood Gene Expression Signatures Predict Invasive Candidiasis
Focusing on host response to infection, we utilized a murine model to develop a blood gene expression signature that accurately classified mice with candidemia and distinguished candidemia from S. aureus bacteremia. Validation of the signature was achieved in an independent cohort of mice.
Provenance — who produced it, who reused it
Linked to 3 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.
- Genomic responses in mouse models poorly mimic human inflammator... 2013 · 3,002 cites
- Genomic responses in mouse models greatly mimic human inflammato... 2014 · 511 cites
1 further paper cites 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