evaluation · needs review
scGen: differentially expressed gene identification
Evaluation procedure
In-silico perturbation assessment with precision sampled at fixed 50% recall
- Model
- scGen
- Benchmark
- differentially expressed gene identification
- Dataset
- stimulated immune PBMC
- origin
- Independent external evaluation
- configuration
- Not reported
- protocol id
- Not reported
- dataset version
- Not reported
- split
- CD14+Mono
- population
- Not reported
- inputs
- Not reported
- adaptation
- Not reported
- metric implementation
- Not reported
- aggregation
- Not reported
- budget
- Not reported
Metadata review: needs review. Unreported conditions prevent automatic comparisons.
Evaluation 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. |
Sources 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: evaluation-lit-b4-016
- areas
- cells-tissues
- tasks
- differentially expressed gene identification
- origin
- independent_paper
- protocol
- In-silico perturbation assessment with precision sampled at fixed 50% recall
- version
- Not reported
- comparison
- protocol id: Not reported; dataset version: Not reported; split: CD14+Mono; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
- missing metadata
- model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract
Related records
- model: scGen
- benchmark: differentially expressed gene identification
- dataset: stimulated immune PBMC
- evaluation: scGen · precision at 50% recall · stimulated immune PBMC