https://www.selleckchem.com/pr....oducts/AZD2281(Olapa
As the manual creation and maintenance of biomedical ontologies are labor-intensive, automatic aids are desirable in the lifecycle of ontology development. Provided with a set of concept names in the Foundational Model of Anatomy (FMA), we propose an innovative method for automatically generating the taxonomy and the partonomy structures among them, respectively. Our approach comprises 2 main tasks The first task is predicting the direct relation between 2 given concept names by utilizing word embedding methods and training 2
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