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Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins
Metric learning on expression data for gene function prediction
Improving protein function prediction using protein sequence and GO-term similarities
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