COVID-19 Knowledge Graph from semantic integration of biomedical literature and databases. [PDF]
Chen C +4 more
europepmc +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Semantic Integration of Heterogeneous Data Sources Using Ontology-Based Domain Knowledge Modeling for Early Detection of COVID-19. [PDF]
Thirumahal R +2 more
europepmc +1 more source
Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang +9 more
wiley +1 more source
Ontology-based data integration methods: a framework for comparison
A data integration system provides a uniform interface to distributed and heterogeneous sources. These sources can be databases as well as unstructured information such as files, HTML pages, etc. One of the most important problems within data integration
Agustina Buccell +2 more
doaj
Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding. [PDF]
Xia K +5 more
europepmc +1 more source
This work presents a dispersive full‐channel Jones matrix modulation strategy using single‐layer metasurface. By synergizing wavelength dispersion engineering with elliptical polarization bases, independent control of four Jones matrix channels is achieved across multiple wavelengths.
Hairong He +10 more
wiley +1 more source
Quantitative analysis of the comprehensiveness and granularity of biomedical terminology systems
Modern healthcare interoperability demands objective methods for quantitatively evaluating the coverage and granularity of biomedical terminology systems to support evidence-based selection and integration decisions. We introduce novel metrics—structural
Eunsuk Chang, Sumi Sung
doaj +1 more source
The AOP-DB RDF: Applying FAIR Principles to the Semantic Integration of AOP Data Using the Research Description Framework. [PDF]
Mortensen HM +6 more
europepmc +1 more source

