A successful hybrid deep learning model aiming at promoter identification.

ABSTRACT:

Background

The zone adjacent to a transcription start site (TSS), namely, the promoter, is primarily involved in the process of DNA transcription initiation and regulation. As a result, proper promoter identification is critical for further understanding the mechanism of the networks controlling genomic regulation. A number of methodologies for the identification of promoters have been proposed. Nonetheless, due to the great heterogeneity existing in promoters, the results of these procedures are still unsatisfactory. In order to establish additional discriminative characteristics and properly recognize promoters, we developed the hybrid model for promoter identification (HMPI), a hybrid deep learning model that can characterize both the native sequences of promoters and the morpho

SUBMITTER: Wang Y 

PROVIDER: S-EPMC9158169 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature