msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths.

Yazi LiXiaoman WeiQinglin YangAn XiongXingfeng LiQuan ZouFeifei CuiZilong Zhang

Published in: BMC biology (2024)

msBERT-Promoter provides an effective tool that successfully captures sequence-related attributes of DNA promoters and can accurately identify promoters and predict their strengths. This work paves a new path for the application of artificial intelligence in traditional biology.

Keyphrases

artificial intelligence
circulating tumor
dna methylation
machine learning
big data
cell free
deep learning
single molecule
transcription factor
gene expression
resistance training
convolutional neural network
circulating tumor cells
neural network