Results 41 to 50 of about 40,724 (255)
Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm
Ontology is the kernel technique of the Semantic Web (SW), which models the domain knowledge in a formal and machine-understandable way. To ensure different ontologies’ communications, the cutting-edge technology is to determine the heterogeneous entity ...
Xingsi Xue, Qi Wu, Miao Ye, Jianhui Lv
doaj +1 more source
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source
CroMatcher 2.0: A Comprehensive Analysis of the Improved Ontology Matching System
One of the main challenges in ontology matching is to match ontologies with high accuracy. Therefore, ontology matching systems typically use multiple basic matchers, each targeting a specific ontology component for the matching process.
Marko Gulic +2 more
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In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Matching biomedical ontologies through compact differential evolution algorithm
Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
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Tackling the challenges of matching biomedical ontologies
Background Biomedical ontologies pose several challenges to ontology matching due both to the complexity of the biomedical domain and to the characteristics of the ontologies themselves.
Daniel Faria +5 more
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Improving Ontology Matching Using Application Requirements for Segmenting Ontologies [PDF]
Ontology matching is concerned with finding relations between elements of different ontologies. In large-scale settings, some significant challenges arise, such as how to achieve a reduction in the time it takes to perform matching and how to improve the
Diego Pessoa +2 more
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This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Matching Biomedical Ontologies via a Hybrid Graph Attention Network
Biomedical ontologies have been used extensively to formally define and organize biomedical terminologies, and these ontologies are typically manually created by biomedical experts. With more biomedical ontologies being built independently, matching them
Peng Wang, Peng Wang, Yunyan Hu
doaj +1 more source

