Neuro-symbolic representation learning on biological knowledge graphs
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DOI: 10.1093/bioinformatics/btx275
Abstract: Motivation : Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are… read more here.
Keywords: knowledge; knowledge graphs; learning biological; biological knowledge ... See more keywords
An introduction to deep learning on biological sequence data: examples and solutions
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DOI: 10.1093/bioinformatics/btx531
Abstract: Motivation Deep neural network architectures such as convolutional and long shortâterm memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms… read more here.
Keywords: deep learning; biology; biological sequence; introduction deep ... See more keywords
Active semi-supervised learning for biological data classification
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DOI: 10.1371/journal.pone.0237428
Abstract: Due to datasets have continuously grown, efforts have been performed in the attempt to solve the problem related to the large amount of unlabeled data in disproportion to the scarcity of labeled data. Another important… read more here.
Keywords: active learning; semi supervised; active semi; learning biological ... See more keywords