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UPCLASS: a deep learning-based classifier for UniProtKB entry publications

https://doi.org/10.1093/database/baaa026

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Character-level neural network for biomedical named entity recognition

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Deep learning

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Community challenges in biomedical text mining over 10 years: success, failure and the future

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On expert curation and scalability: UniProtKB/Swiss-Prot as a case study

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eGenPub, a text mining system for extending computationally mapped bibliography for UniProt Knowledgebase by capturing centrality

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An effective biomedical document classification scheme in support of biocuration: addressing class imbalance

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ML-Net: multi-label classification of biomedical texts with deep neural networks

inferredcites →https://doi.org/10.1093/nar/gky1049openalex-snapshot

UniProt: a worldwide hub of protein knowledge

inferredcites →https://doi.org/10.1145/1007730.1007735openalex-snapshot

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LocText: relation extraction of protein localizations to assist database curation

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Scaling up data curation using deep learning: An application to literature triage in genomic variation resources

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Protein Interaction Network Analysis of β-catenin to Map its Crucial Interacting Genes using Systems Biology Approach

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