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   Articles with "biological knowledge" as a keyword



Neuro-symbolic representation learning on biological knowledge graphs

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recommendations! Published in 2017 at "Bioinformatics"

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
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BioKEEN: a library for learning and evaluating biological knowledge graph embeddings

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recommendations! Published in 2019 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btz117

Abstract: SUMMARY Knowledge graph embeddings (KGEs) have received significant attention in other domains due to their ability to predict links and create dense representations for graphs' nodes and edges. However, the software ecosystem for their application… read more here.

Keywords: knowledge; biokeen library; knowledge graph; graph embeddings ... See more keywords

Transformers and the Representation of Biomedical Background Knowledge

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recommendations! Published in 2022 at "Computational Linguistics"

DOI: 10.1162/coli_a_00462

Abstract: Abstract Specialized transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora. As such, they have the potential to encode large-scale biological knowledge. We investigate the… read more here.

Keywords: background knowledge; biomedical background; representation biomedical; knowledge ... See more keywords
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KnetMaps: a BioJS component to visualize biological knowledge networks

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recommendations! Published in 2018 at "F1000Research"

DOI: 10.12688/f1000research.16605.1

Abstract: KnetMaps is a BioJS component for the interactive visualization of biological knowledge networks. It is well suited for applications that need to visualise complementary, connected and content-rich data in a single view in order to… read more here.

Keywords: knowledge; component visualize; knowledge networks; knetmaps biojs ... See more keywords

G-S-M-E: A Prior Biological Knowledge-Based Pattern Detection and Enrichment Framework for Multi-Omics Data Integration

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app152312669

Abstract: The rapid advancements in high-throughput technologies have led to a dramatic increase in diverse -omics data types, enabling comprehensive analyses, especially for complex diseases like cancer. Despite the development of multi-omics approaches, the challenges of… read more here.

Keywords: integration; prior biological; multi omics; multi ... See more keywords