Learning causal networks using inducible transcription factors and transcriptome-wide time series
A small molecule transcriptional induction system is used to induce transcription factors (TFs) in Saccharomyces cerevisiae. Subsequent gene expression changes are used to train parametric models and make predictions of regulator-gene connections.
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.
- Learning causal networks using inducible transcription factors a... 2020 · 98 cites
- High-performance single-cell gene regulatory network inference a... 2022 · 78 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
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