rewire.it
Paper-reported evidence

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

2022 · Peer-reviewed · version of record

Paper-reported results. The values below come from this source, not an independent rewire.it run.

Open primary paper →DOI: 10.3389/fgene.2022.1067562

Primary full text via Europe PMC XML; venue: Frontiers in Genetics; PMC ID: PMC9745317.

2 verified numerical rows · source checked 2026-09-15

Paper-reportedAuthor's model

Eco70PromBERT

E. coli sigma70 promoter prediction

Reported score
0.91
Metric
Promoter-class F1
Dataset / split
Independent E. coli sigma70 test dataset · independent test

BERT-base with 1bp tokenizer; 110 promoters and 108 non-promoters.

TABLE 3, Eco70PromBERT (BERT-base + 1bp tokenizer) row, F1 score Promoter columnVerify at source →
Paper-reportedIndependent paper evaluation

iPro70-FMWin

E. coli sigma70 promoter prediction

Reported score
0.90
Metric
Promoter-class F1
Dataset / split
Independent E. coli sigma70 test dataset · independent test

Compared on the same independent test dataset; 110 promoters and 108 non-promoters.

TABLE 3, iPro70-FMWin row, F1 score Promoter columnVerify at source →