Extracting Semantic Predications from Medline Citations for Pharmacogenomics

114 citations recorded by the source corpus.

How researchers see this paper

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Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “Computational phenotyping applications have been developed to mine pharmacogenomics knowledge [56-59].”
Frontiers of biomedical text mining: current progress (2007, background): “addresses various kinds of relations, including genes/ proteins, protein point mutations [42], protein binding sites [43], gene-disease [44], phenotypic context [45, 46] and mutations [47].”
An overview of MetaMap: historical perspective and recent advances (2010, methodology): “After some experience with MetaMap, it became clear that it could be applied to tasks other than retrieval, namely text mining,”
Corpus annotation for mining biomedical events from literature (2008, methodology): “We will make the annotation results available to the community, and it is reasonable to expect that the corpus will contribute to further progress in NLP-based TM techniques, including event or relation extraction [57-59], intelligent information retrieval [13,60], semantic enrichment of text [61], ”
Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text (2009, methodology): “Natural language processing has been applied to pharmacogenomics in the past [1,2], but there is an opportunity now to use it for extracting the connections between the entities of interest in pharma-cogenomics.”