Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
scGen
scGen is the method recorded for differentially expressed gene identification. This page preserves the configuration reported by AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes.
At a glance
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 |
|---|---|
| Recorded dataset | 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 |
| Recorded split | 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 |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: In-silico perturbation assessment with precision sampled at fixed 50% recall
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 columnBenchmarks and results
Release 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. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.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 column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-fcf2cd29a81aaeSources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes · Original source · PMC archival version PMC12400816.1
Technical metadata and extraction receipts
Stable ID: reported-model-fcf2cd29a81aae
- areas
- cells-tissues
- entity level
- method
- version
- Not reported
- reported name
- scGen
- missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract