The architecture of DNABERT2-enhancer includes two models: (A) DNABERT-2 model (B) CNN model.

The architecture of DNABERT2-enhancer includes two models: (A) DNABERT-2 model (B) CNN model.

<p>The architecture of DNABERT2-enhancer includes two models: (A) DNABERT-2 model (B) CNN model.</p>

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Bibliographic Details
Main Author:	Tong Wang (87696) (author)
Other Authors:	Mengqi Gao (4965808) (author)
Published:	2025
Subjects:	Neuroscience Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified address current limitations feature vector generated weak enhancers ). strength </ p existing predictors utilizing eukaryotic gene transcription 2 language model useful predictive models enhancer recognition task useful instrument feature vectors xlink "> transformer architecture transfer learning training dnabert still deficiencies prediction results pivotal element original sequence identifying enhancers identical dataset highly significant extracting features enhancers classification either enhancer downstream position deep learning cnn network cnn model academic research
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