This paper-specific evaluation tests differentially expressed gene identification using stimulated immune PBMC.
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Record type | Paper-specific task; protocol incompletely extractedAUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes · Table 3, CD14+Mono section, scGen row, Precision at 50% Recall column |
| Inputs | stimulated immune PBMCAUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes · Table 3, CD14+Mono section, scGen row, Precision at 50% Recall column |
| Assessment | precision at 50% recallAUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes · Table 3, CD14+Mono section, scGen row, Precision at 50% Recall column |
| Recorded split or evaluation setting | CD14+MonoAUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes · Table 3, CD14+Mono section, scGen row, Precision at 50% Recall column |
| Datasets | Not extracted or verified for this record. |
| Organisms | Not extracted or verified for this record. |
| Assays | Not extracted or verified for this record. |
| Adaptation | Not extracted or verified for this record. |
| Baselines | Not extracted or verified for this record. |
Outline of the existing paper extraction. Split membership, fitting details and scorer implementation remain incompletely reviewed.
The existing paper extraction describes: In-silico perturbation assessment with precision sampled at fixed 50% recall. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.
AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes · Table 3, CD14+Mono section, scGen row, Precision at 50% Recall columnRelease 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| scGen: differentially expressed gene identification Model: scGen · Benchmark: differentially expressed gene identification · Dataset: stimulated immune PBMC In-silico perturbation assessment with precision sampled at fixed 50% recall Independent external evaluation · Evaluation metadata: needs review | ||
| 0.91 precision at 50% recall Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedAUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes · Table 3, CD14+Mono section, scGen row, Precision at 50% Recall column Source checking is not independent reproduction. |
Catalogue extraction inspected; protocol claims remain limited to the cited evidence. Missing details are not presumed absent from the original paper.
Stable record: reported-task-003d746a129c9bRelease 2026-09-16-d74d282221a9 · Record review: needs review
Stable ID: reported-task-003d746a129c9b