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  1. 1061
    por Wang, Linbang, Wang, Bing, Quan, Zhengxue
    Publicado 2020
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    Identification of aberrantly methylated-differentially expressed genes and gene ontology in prostate cancer
  2. 1062
    por Sousa, Diana, Couto, Francisco M.
    Publicado 2020
    “…To perform relation extraction, our deep learning system, BiOnt, employs four types of biomedical ontologies, namely, the Gene Ontology, the Human Phenotype Ontology, the Human Disease Ontology, and the Chemical Entities of Biological Interest, regarding gene-products, phenotypes, diseases, and chemical compounds, respectively. …”
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    BiOnt: Deep Learning Using Multiple Biomedical Ontologies for Relation Extraction
  3. 1063
    “…MOTIVATION: The Gene Ontology (GO) is the unifying biological vocabulary for codifying, managing and sharing biological knowledge. …”
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    SSIF: Subsumption-based Sub-term Inference Framework to audit Gene Ontology
  4. 1064
    “…This paper innovatively adopts the ideas and methods of semantic web ontology to build an ontology-based reasoning system for MSW risk response. …”
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    Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning
  5. 1065
    “…Gene Ontology is used extensively in scientific knowledgebases and repositories to organize a wealth of biological information. …”
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    GOcats: A tool for categorizing Gene Ontology into subgraphs of user-defined concepts
  6. 1066
    “…Classical ontologies cannot appropriately treat imprecise and ambiguous knowledge. …”
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    A Fuzzy-Ontology Based Diabetes Monitoring System Using Internet of Things
  7. 1067
    “…Specifically, we first divided the networks into subnets taking the advantage of known prior knowledge, such as gene ontology. For each subnet pair, we then developed a novel method to align them by considering both protein orthologous information and their local structural information. …”
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    NAIGO: An Improved Method to Align PPI Networks Based on Gene Ontology and Graphlets
  8. 1068
    “…Based on MOOCs discussion forums, this paper aims to explore different levels of confusion in specific concept using prerequisite based ontology for extracting relevant posts, and Bidirectional Encoder Representations from Transformers (BERT) classification algorithm to describe the degree of confusion for each post. …”
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    BERT and Prerequisite Based Ontology for Predicting Learner’s Confusion in MOOCs Discussion Forums
  9. 1069
    “…Different from the traditional ontology alignment whose cardinality is 1:1, i.e. one source ontology entity is mapping with one target ontology entity and vice versa, and the relationship is the equivalence, matching hydrography ontologies is a more complex task, whose cardinality could be 1:1, 1:n or m:n and the relationships could be equivalence or subsumption. …”
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    Optimizing Hydrography Ontology Alignment Through Compact Particle Swarm Optimization Algorithm
  10. 1070
    por de Pinedo García, Manuel
    Publicado 2020
    “…Two important issues of recent discussion in the philosophy of biology and of the cognitive sciences have been the ontological status of living, cognitive agents and whether cognition and action have a normative character per se. …”
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    Ecological Psychology and Enactivism: A Normative Way Out From Ontological Dilemmas
  11. 1071
    “…We present Trove, a framework for weakly supervised entity classification using medical ontologies and expert-generated rules. Our approach, unlike hand-labeled notes, is easy to share and modify, while offering performance comparable to learning from manually labeled training data. …”
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    Ontology-driven weak supervision for clinical entity classification in electronic health records
  12. 1072
    “…In Ciona, a project on the ontology of both development and anatomy is ongoing for several years. …”
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    The ontology of the anatomy and development of the solitary ascidian Ciona: the swimming larva and its metamorphosis
  13. 1073
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    Ontological Transparency, (In)visibility, and Hidden Curricula: Critical Pedagogy Amidst Contentious Edtech
  14. 1074
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    Emerging Infectious Diseases and Disease Emergence: critical, ontological and epistemological approaches1
  15. 1075
    “…Despite the existence of robust ontologies in the Life Sciences, there is currently no comprehensive full set of ontologies recommended for data annotation across agricultural research disciplines. …”
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    The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems
  16. 1076
    “…Identification of new targets, both in the virus and the host, may accelerate the search for effective vaccines and curative drugs against COVID-19. Further, the ontological approach of this review is likely to provide insights for researchers to anticipate and be ready for future mutant viruses that may emerge in future.…”
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    Decoding information on COVID–19: Ontological approach towards design possible therapeutics
  17. 1077
    “…Then, we developed an ontology to standardize the documentation of the RF selection and data integration process in mIDA studies. …”
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    An ontology-based documentation of data discovery and integration process in cancer outcomes research
  18. 1078
    “…A total of 163 drug protein targets were identified, and 125 biological processes involving the drug targets were significantly enriched based on a Gene Ontology (GO) enrichment analysis. The Coronavirus Infectious Disease Ontology (CIDO) was used as an ontological platform to represent the anti-coronaviral drugs, chemical compounds, drug targets, biological processes, viruses, and the relations among these entities. …”
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    Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection
  19. 1079
    “…The ontology is used to automatically generate constraints for each image based on its biomedical context, which facilitates image segmentation and classification.…”
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    Ontology-guided segmentation and object identification for developmental mouse lung immunofluorescent images
  20. 1080
    “…In this case, information can be shared among individual members by evaluating the semantic relationship of information based on ontology graph and their local knowledge. That is, if individual member collects more relevant information, the information will be used to update its local knowledge and improve sharing relevant information by measuring the ontological relevance. …”
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    Adaptive Information Sharing with Ontological Relevance Computation for Decentralized Self-Organization Systems
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