WebNov 29, 2024 · Considering that both iPro70-FMWin and iPromoter-2L2.0 were designed specifically to extract sequence features with various customizations for promoter classification to achieve SOTA performance. The plug-and-play characteristic of large language models like BERT would be better for scalability and broader applications. WebAug 25, 2024 · (vii) iPro70-FMWin. iPro70-FMWin ( 38) is a web application for sigma 70 promoter prediction. Its training data set consists of sigma 70 promoter sequences from data set Regulon DB 9.0 and sequences randomly chosen from coding and intergenic regions of E. coli as positive and negative data sets, respectively.
iPro70-FMWin · bio.tools
WebiPro70-FMWin: identifying Sigma70 promoters using multiple windowing and minimal features. MS Rahman, U Aktar, MR Jani, S Shatabda. Molecular Genetics and Genomics 294, 69-84, 2024. 26: 2024: Hybrid methods for class imbalance learning employing bagging with sampling techniques. WebWe have tested our method using a standard benchmark dataset. In the experiments, iPro70-FMWin has achieved an area under the curve of the receiver operating characteristic and … cylinder sewing machine table
iPro70-FMWin: identifying Sigma70 promoters using multiple windowing …
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