Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387346456> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4387346456 abstract "Extracting variant-disease associations (VDAs) from the biomedical literature is a critical task in biomedical and genomics research, as it provides valuable insights into the genetic basis of diseases and facilitates the development of precision medicine. The biomedical literature is a vast and growing source of information containing a wealth of knowledge on genetic variants and their associations with diseases. However, the manual extraction of VDAs from the literature is a time-consuming and labor-intensive process, making it challenging to keep up with the rapidly expanding literature. Therefore, there is a pressing need to develop computational methods for effectively extracting and curating VDAs from the biomedical literature, and to build a comprehensive dataset for this significant task. In this paper, we present a large-scale, semi-automatically annotated dataset for VDA extraction from the biomedical literature (called VDAL) based on the DisGeNet platform which contains one of the largest publicly available collections of genes and variants associated with human diseases. To the best of our knowledge, VDAL is one of the largest datasets for VDA extraction, containing 9,362 related PubMed documents from the biomedical domain. In addition, we propose a novel and simple yet effective model, called VDANet, which incorporates the corresponding gene embeddings of the variants into the model to better explore the associations between genetic variants and human diseases. Extensive experiments on the constructed dataset show that VDANet significantly outperforms the state-of-the-art baseline methods, thus establishing a new benchmark for VDA extraction. For reproducibility, our code and data are available at https://github.com/JasonCLEI/VDANet." @default.
- W4387346456 created "2023-10-05" @default.
- W4387346456 creator A5008837884 @default.
- W4387346456 creator A5027440970 @default.
- W4387346456 creator A5030867642 @default.
- W4387346456 creator A5043198787 @default.
- W4387346456 creator A5077116003 @default.
- W4387346456 date "2023-09-03" @default.
- W4387346456 modified "2023-10-06" @default.
- W4387346456 title "Large-scale Dataset and Effective Model for Variant-Disease Associations Extraction" @default.
- W4387346456 cites W2029017735 @default.
- W4387346456 cites W2155518941 @default.
- W4387346456 cites W2911489562 @default.
- W4387346456 cites W3046375318 @default.
- W4387346456 doi "https://doi.org/10.1145/3584371.3612995" @default.
- W4387346456 hasPublicationYear "2023" @default.
- W4387346456 type Work @default.
- W4387346456 citedByCount "0" @default.
- W4387346456 crossrefType "proceedings-article" @default.
- W4387346456 hasAuthorship W4387346456A5008837884 @default.
- W4387346456 hasAuthorship W4387346456A5027440970 @default.
- W4387346456 hasAuthorship W4387346456A5030867642 @default.
- W4387346456 hasAuthorship W4387346456A5043198787 @default.
- W4387346456 hasAuthorship W4387346456A5077116003 @default.
- W4387346456 hasBestOaLocation W43873464561 @default.
- W4387346456 hasConcept C111919701 @default.
- W4387346456 hasConcept C119857082 @default.
- W4387346456 hasConcept C121332964 @default.
- W4387346456 hasConcept C124101348 @default.
- W4387346456 hasConcept C13280743 @default.
- W4387346456 hasConcept C134306372 @default.
- W4387346456 hasConcept C154945302 @default.
- W4387346456 hasConcept C162324750 @default.
- W4387346456 hasConcept C165141518 @default.
- W4387346456 hasConcept C185798385 @default.
- W4387346456 hasConcept C187736073 @default.
- W4387346456 hasConcept C195807954 @default.
- W4387346456 hasConcept C205649164 @default.
- W4387346456 hasConcept C23123220 @default.
- W4387346456 hasConcept C2522767166 @default.
- W4387346456 hasConcept C2778755073 @default.
- W4387346456 hasConcept C2780451532 @default.
- W4387346456 hasConcept C33923547 @default.
- W4387346456 hasConcept C36503486 @default.
- W4387346456 hasConcept C41008148 @default.
- W4387346456 hasConcept C62520636 @default.
- W4387346456 hasConcept C71472368 @default.
- W4387346456 hasConcept C98045186 @default.
- W4387346456 hasConceptScore W4387346456C111919701 @default.
- W4387346456 hasConceptScore W4387346456C119857082 @default.
- W4387346456 hasConceptScore W4387346456C121332964 @default.
- W4387346456 hasConceptScore W4387346456C124101348 @default.
- W4387346456 hasConceptScore W4387346456C13280743 @default.
- W4387346456 hasConceptScore W4387346456C134306372 @default.
- W4387346456 hasConceptScore W4387346456C154945302 @default.
- W4387346456 hasConceptScore W4387346456C162324750 @default.
- W4387346456 hasConceptScore W4387346456C165141518 @default.
- W4387346456 hasConceptScore W4387346456C185798385 @default.
- W4387346456 hasConceptScore W4387346456C187736073 @default.
- W4387346456 hasConceptScore W4387346456C195807954 @default.
- W4387346456 hasConceptScore W4387346456C205649164 @default.
- W4387346456 hasConceptScore W4387346456C23123220 @default.
- W4387346456 hasConceptScore W4387346456C2522767166 @default.
- W4387346456 hasConceptScore W4387346456C2778755073 @default.
- W4387346456 hasConceptScore W4387346456C2780451532 @default.
- W4387346456 hasConceptScore W4387346456C33923547 @default.
- W4387346456 hasConceptScore W4387346456C36503486 @default.
- W4387346456 hasConceptScore W4387346456C41008148 @default.
- W4387346456 hasConceptScore W4387346456C62520636 @default.
- W4387346456 hasConceptScore W4387346456C71472368 @default.
- W4387346456 hasConceptScore W4387346456C98045186 @default.
- W4387346456 hasLocation W43873464561 @default.
- W4387346456 hasOpenAccess W4387346456 @default.
- W4387346456 hasPrimaryLocation W43873464561 @default.
- W4387346456 hasRelatedWork W1788528807 @default.
- W4387346456 hasRelatedWork W2108706252 @default.
- W4387346456 hasRelatedWork W2153799433 @default.
- W4387346456 hasRelatedWork W2367301249 @default.
- W4387346456 hasRelatedWork W2379157006 @default.
- W4387346456 hasRelatedWork W2393978999 @default.
- W4387346456 hasRelatedWork W2725657302 @default.
- W4387346456 hasRelatedWork W2983785000 @default.
- W4387346456 hasRelatedWork W4285814174 @default.
- W4387346456 hasRelatedWork W97427318 @default.
- W4387346456 isParatext "false" @default.
- W4387346456 isRetracted "false" @default.
- W4387346456 workType "article" @default.