Results 281 to 290 of about 70,807 (316)

Ontology pre-training improves machine learning-based predictions for metabolites

Tumescheit C, Glauer M, Flügel S, Larralde M, Neuhaus F, Mossakowski T, Hastings J.   +6 more
europepmc   +1 more source

Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations. [PDF]

Brief Bioinform
Bosch I, Gravel B, Renaux A, Nowé A, Laan M, Lenaerts T.   +5 more
europepmc   +1 more source

Pulsed Electric Fields Reshape the Malting Barley Metabolome: Insights from UHPLC-HRMS/MS. [PDF]

Molecules
Behner A, Prusova N, Karabin M, Jelinek L, Hajslova J, Stranska M.   +5 more
europepmc   +1 more source

Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directions. [PDF]

Front Digit Health
Daghir-Wojtkowiak E, Alfaro J, Mastromattei M, Palkowski A, Stares M, Roca-Umbert A, Krajnc A, Leoni R, Boland A, Nourbaksh A, Kallor A, Ducki C, Venditti D, Montesano C, Cipriani C, Faria D, Pflieger D, Zago E, Bardet E, Serrano F, Jeanneret F, Alouges D, Yin L, Coquelet E, Bacquet A, Bonchi F, Maiorino F, Torino F, Bedran G, Long JA, Balbi L, Guyon L, Bevilacqua L, Fiorelli M, Wagner MC, Reyes M, Roselli M, Silva MC, Waleron M, Dovrolis N, Filhol-Cochet O, Um IH, Wolflein G, Eugénio P, Bazelle P, Golnas P, Thorpe P, Bove P, Borole P, Bernardini R, Kumar R, Cicconi R, Kaltenbrunner S, Gravina S, Brezar S, Symeonides S, McGinn S, Nunes S, Hupp T, Gordienko Y, Varvaras D, Stirenko S, Xumerle L, Mariani S, Bouzit A, Gazut S, Poth H, Souliotis K, Katifelis H, Verzoni E, Procopio G, Schoch S, Lupiáñez-Villanueva F, Türk S, Barud K, Koroliouk D, Caubet J, Moreno Y, Descotes JL, Golna C, Guadalupi V, Garagnani P, Gazouli M, Deleuze JF, Folkvord F, Forgó N, Harrison DJ, Axelson H, Stellato A, Mattei M, Rajan A, Laird A, Battail C, Pesquita C, Zanzotto FM.   +94 more
europepmc   +1 more source

Gene ontology classification of the nsP3 interactomes based on biological processes.

Aditya Thiruvaiyaru (21011753), Sari Mattila (2216407), Mohammadreza Sadeghi (133514), Krystyna Naumenko (21011756), Andres Merits (191446), Markku Varjosalo (266899), Tero Ahola (191447)   +6 more
openalex   +1 more source

Ontological statute of the human embryo as a person. A perspective from biological research in Latin America

, 2016
Álvaro Olivo Yépez, Pascual Linares Márquez, Ana Isabel Suárez Guerrero, Ana María Guzmán   +3 more
openalex   +1 more source

GFO-Bio: A biological core ontology [PDF]

Applied Ontology, 2008
The rapid increase in the number and use of biological ontologies necessitates developing systems for their integration. In this paper we present a core ontology for biology, and outline its application for integrating biological domain ontologies.
R. Hoehndorf, F. Loebe, Poli, Roberto, H. Herre, J. Kelso   +4 more
openaire   +3 more sources

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Ontologies in Biological Data Visualization

IEEE Computer Graphics and Applications, 2014
In computer science, an ontology is essentially a graph-based knowledge representation in which each node corresponds to a concept and each edge specifies a relation between two concepts. Ontological development in biology can serve as a focus to discuss the challenges and possible research directions for ontologies in visualization.
Sheelagh, Carpendale, Min, Chen, Daniel, Evanko, Nils, Gehlenborg, Carsten, Gorg, Larry, Hunter, Francis, Rowland, Margaret-Anne, Storey, Hendrik, Strobelt   +8 more
openaire   +2 more sources

EVENT ONTOLOGY: A PATHWAY-CENTRIC ONTOLOGY FOR BIOLOGICAL PROCESSES

Biocomputing 2006, 2005
Event ontology is a new biomedical ontology developed to annotate pathway components in a pathway database. It organizes the concepts and terms of sub-pathways, pathways, biological phenomena, experimental conditions, medications, and external stimuli appearing in biological pathways (e.g.
Tatsuya, Kushida, Toshihisa, Takagi, Ken Ichiro, Fukuda   +2 more
openaire   +2 more sources