BioinformaticsbioRxivPreprint
Harnessing Contextual Embeddings: A Deep Learning Framework for Predicting PCR Amplification Using BERT Tokenization
Niloofar Latifian, Naghme Nazer, Amir Masoud Jafarpisheh, Babak Hossein Khalaj
This paper predicts PCR amplification outcomes using a deep learning framework combining BERT tokenization and a CNN-BiLSTM model, achieving 84.8% accuracy and improved sensitivity, specificity, and AUC.