Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
scRegNet (Geneformer backbone)
scRegNet (Geneformer backbone) is the method recorded for Gene-regulatory link prediction. This page preserves the configuration reported by Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning.
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 | hESC cell-type-specific GRNPrediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning · Table 2, scRegNet (w/ Geneformer) row, hESC AUROC entry |
| 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: TFs plus 500 variable genes; mean from 50 independent evaluations.
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning · Table 2, scRegNet (w/ Geneformer) row, hESC AUROC entryBenchmarks 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 |
|---|---|---|
| scRegNet (Geneformer backbone): Gene-regulatory link prediction Model: scRegNet (Geneformer backbone) · Benchmark: Gene-regulatory link prediction · Dataset: hESC cell-type-specific GRN TFs plus 500 variable genes; mean from 50 independent evaluations. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.89 AUROC Unit: unitless · Direction: unknown | Uncertainty: ± 0.00 as printed Scored: Not reported · Eligible: Not reported | source checkedPrediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning · Table 2, scRegNet (w/ Geneformer) row, hESC AUROC entry 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.Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning · Table 2, scRegNet (w/ Geneformer) row, hESC AUROC entry
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-60455ff7cc0c15Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning · Original source · PMC11838224.2
Technical metadata and extraction receipts
Stable ID: reported-model-60455ff7cc0c15
- areas
- cells-tissues
- entity level
- method
- version
- Not reported
- reported name
- scRegNet (Geneformer backbone)
- 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