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Learning meaningful representations of protein sequences | Nature Communications
Learning meaningful representations of protein sequences - Nature Communications
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Modeling aspects of the language of life through transfer-learning protein sequences - BMC Bioinformatics
Background Predicting protein function and structure from sequence is one important challenge for computational biology. For 26 years, most state-of-the-art approaches combined machine learning and evolutionary information. However, for some applications
bmcbioinformatics.biomedcentral.com
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