TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of <i>Synechococcus</i> sp. and <i>Synechocystis</i> sp. through a state-of-the-art natural language processing model BERT.

Mai, Dung Hoang Anh; Nguyen, Linh Thanh; Lee, Eun Yeol

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.

Mai, Dung Hoang Anh; Nguyen, Linh Thanh; Lee, Eun Yeol.

Affiliation

Mai DHA; Department of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin-si, South Korea.
Nguyen LT; Department of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin-si, South Korea.
Lee EY; Department of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin-si, South Korea.

Front Genet ; 13: 1067562, 2022.

Article in En | MEDLINE | ID: mdl-36523764

Key words

dRNA-Seq; deep learning; differential RNA sequencing; natural language processing; promoter prediction; transformer

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Genet Year: 2022 Document type: Article Affiliation country: Corea del Sur Country of publication: Suiza

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