Exploring genetic interaction manifolds constructed from rich phenotypes
Rich phenotyping using single-cell RNA sequencing reveals principles and mechanisms of genetic interactions.
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.
- Predicting cellular responses to complex perturbations in high‐t... 2023 · 266 cites
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
96/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
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