Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
iPro70-FMWin
iPro70-FMWin is the method recorded for E. coli sigma70 promoter prediction. This page preserves the configuration reported by TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT.
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 | Independent E. coli sigma70 test datasetTSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · TABLE 3, iPro70-FMWin row, F1 score Promoter column |
| Recorded split | independent testTSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · TABLE 3, iPro70-FMWin row, F1 score Promoter 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: Compared on the same independent test dataset; 110 promoters and 108 non-promoters.
TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · TABLE 3, iPro70-FMWin row, F1 score Promoter 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 |
|---|---|---|
| iPro70-FMWin: E. coli sigma70 promoter prediction Model: iPro70-FMWin · Benchmark: E. coli sigma70 promoter prediction · Dataset: Independent E. coli sigma70 test dataset Compared on the same independent test dataset; 110 promoters and 108 non-promoters. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.90 Promoter-class F1 Unit: unitless · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedTSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · TABLE 3, iPro70-FMWin row, F1 score Promoter 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.TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · TABLE 3, iPro70-FMWin row, F1 score Promoter 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-23cb15b93c00ffSources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis sp. through a state-of-the-art natural language processing model BERT · Original source · version of record
Technical metadata and extraction receipts
Stable ID: reported-model-23cb15b93c00ff
- areas
- microbes-communities
- entity level
- method
- version
- Not reported
- reported name
- iPro70-FMWin
- 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