Results 41 to 50 of about 2,932,261 (286)
Semantic similarity and machine learning with ontologies
Briefings Bioinform., 2020 Ontologies have long been employed in the life sciences to formally represent and reason over domain knowledge and they are employed in almost every major biological database.
Maxat Kulmanov +3 more
semanticscholar +1 more source
OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
Journal of Biomedical Semantics, 2018 Background The biodiversity domain, and in particular biological taxonomy, is moving in the direction of semantization of its research outputs. The present work introduces OpenBiodiv-O, the ontology that serves as the basis of the OpenBiodiv Knowledge ...
Viktor Senderov +8 more
doaj +1 more source
Biological ontologies in rice databases. An introduction to the activities in Gramene and Oryzabase.
Plant and Cell Physiology, 2005 An enormous amount of information and materials in the field of biology has been accumulating, such as nucleotide and amino acid sequences, gene and protein functions, mutants and their phenotypes, and literature references, produced by the rapid ...
Y. Yamazaki, P. Jaiswal
semanticscholar +1 more source
Aber-OWL: a framework for ontology-based data access in biology [PDF]
, 2014 Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within these ontologies relies on the use of automated reasoning.
arxiv +1 more source
RDFScape: Semantic Web meets Systems Biology
BMC Bioinformatics, 2008 Background The recent availability of high-throughput data in molecular biology has increased the need for a formal representation of this knowledge domain. New ontologies are being developed to formalize knowledge, e.g.
Splendiani Andrea
doaj +1 more source
Exploring biomedical ontology mappings with graph theory methods [PDF]
PeerJ, 2017 Background In the era of semantic web, life science ontologies play an important role in tasks such as annotating biological objects, linking relevant data pieces, and verifying data consistency.
Simon Kocbek, Jin-Dong Kim
doaj +2 more sources
Emerging semantics to link phenotype and environment [PDF]
PeerJ, 2015 Understanding the interplay between environmental conditions and phenotypes is a fundamental goal of biology. Unfortunately, data that include observations on phenotype and environment are highly heterogeneous and thus difficult to find and integrate ...
Anne E. Thessen +21 more
doaj +2 more sources
Machine learning with biomedical ontologies
bioRxiv, 2020 Ontologies have long been employed in the life sciences to formally represent and reason over domain knowledge, and they are employed in almost every major biological database.
Maxat Kulmanov +3 more
semanticscholar +1 more source
Improving the classification of cardinality phenotypes using collections
Journal of Biomedical Semantics, 2023 Motivation Phenotypes are observable characteristics of an organism and they can be highly variable. Information about phenotypes is collected in a clinical context to characterize disease, and is also collected in model organisms and stored in model ...
Sarah M. Alghamdi, Robert Hoehndorf
doaj +1 more source
miRNA‐29 regulates epidermal and mesenchymal functions in skin repair
FEBS Letters, EarlyView.miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan +10 more
wiley +1 more source