BioinformaticsbioRxivPreprint
Prediction of protein subcellular localization using deep learning and data augmentation
This study improves protein subcellular localization prediction by replacing SVM with BiLSTM and SeqGAN, achieving 75% precision on a dataset of 8230 protein sequences.
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