Potential of deep representative learning features to interpret the sequence information in proteomics

A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information

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A deep-learning framework for multi-level peptide–protein interaction prediction

(2021) Yipin Lei et al.   Nature Communications

prPred‐DRLF: Plant R protein predictor using deep representation learning features

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DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions

(2019) Fuhao Zhang et al.   PROTEOMICS

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Deep learning

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A large-scale evaluation of computational protein function prediction

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