Results 51 to 60 of about 6,765,512 (191)

IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo

FEBS Open Bio, EarlyView.
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2015. [PDF]

, 2015
Ontology matching consists of finding correspondences between semantically related entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. These test cases can use ontologies of different nature (from simple thesauri to expressive OWL ontologies) and use different modalities, e.g., blind ...
Cheatham, Michelle, Dragisic, Zlatan, Euzenat, Jérôme, Faria, Daniel, Ferrara, Alfio, Flouris, Giorgos, Fundulaki, Irini, Leitzke Granada, Roger, Ivanova, Valentina, Jiménez-Ruiz, Ernesto, Lambrix, Patrick, Montanelli, Stefano, Pesquita, Catia, Saveta, Tzanina, Shvaiko, Pavel, Solimando, Alessandro, Trojahn dos Santos, Cassia, Zamazal, Ondrej   +17 more
openaire   +3 more sources

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2014. [PDF]

, 2014
Ontology matching consists of finding correspondences between semantically related entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. These test cases can use ontologies of different nature (from simple thesauri to expressive OWL ontologies) and use different modalities, e.g., blind ...
Dragisic, Zlatan, Eckert, Kai, Euzenat, Jérôme, Faria, Daniel, Ferrara, Alfio, Granada, Roger, Ivanova, Valentina, Jiménez-Ruiz, Ernesto, Kempf, Andreas Oskar, Lambrix, Patrick, Montanelli, Stefano, Paulheim, Heiko, Ritze, Dominique, Shvaiko, Pavel, Solimando, Alessandro, Trojahn dos Santos, Cassia, Zamazal, Ondrej, Cuenca Grau, Bernardo   +17 more
openaire   +4 more sources

Results of the Ontology Alignment Evaluation Initiative 2024

CEUR Workshop Proceedings
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities. The OAEI 2024 campaign offered 13 tracks and was attended by 13 participants.
Pour, Mina Abd Nikooie, Algergawy, Alsayed, Blomqvist, Eva, Buche, Patrice, Chen, Jiaoyan, Cotovio, Pedro Giesteira, Coulet, Adrien, Cufi, Julien, Dong, Hang, Faria, Daniel, Ferraz, Lucas, Hertling, Sven, He, Yuan, Horrocks, Ian, Ibanescu, Liliana, Jain, Dr Sarika, Jiménez-Ruiz, Ernesto, Karam, Naouel, Kraus, Felix, Lambrix, Patrick, Li, Huanyu, Li, Ying, Monnin, Pierre, Paulheim, Heiko, Pesquita, Catia, Sharma, Abhisek, Shvaiko, Pavel, Silva, Marta, Sousa, Guilherme, Trojahn, Cassia, Vataščinová, Jana, Yaman, Beyza, Zamazal, Ondrej, Zhou, Lu   +33 more
openaire   +7 more sources

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2009.

, 2009
Ontology matching consists of finding correspondences between on- tology entities. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. Test cases can use ontologies of different nature (from expressive OWL ontologies to simple directories) and use different modal- ities, e.g., blind evaluation, open evaluation ...
Euzenat, Jérôme, Ferrara, Alfio, Hollink, Laura, Isaac, Antoine, Joslyn, Cliff, Malaisé, Véronique, Meilicke, Christian, Nikolov, Andriy, Pane, Juan, Sabou, Marta, Scharffe, François, Shvaiko, Pavel, Spiliopoulos, Vassilis, Stuckenschmidt, Heiner, Sváb-Zamazal, Ondrej, Svátek, Vojtech, Trojahn dos Santos, Cassia, Vouros, George, Wang, Shenghui   +18 more
openaire   +5 more sources

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source