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Mostrando 361 - 380 Resultados de 2,862 Para Buscar '"data integrity"', tiempo de consulta: 0.40s Limitar resultados
  1. 361
    “…Heterogeneous network edge prediction effectively prioritized genetic associations and provides a powerful new approach for data integration across multiple domains.…”
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    Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes
  2. 362
    “…RESULTS: In this study, we propose a fast and high performance multiple data integration algorithm for identifying human disease genes. …”
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    A fast and high performance multiple data integration algorithm for identifying human disease genes
  3. 363
    “…In oncology hundreds of mutations can potentially be detected for each patient by genomic profiling. Therefore data integration from multiple sources constitutes a key challenge for medical research and healthcare. …”
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    ODMedit: uniform semantic annotation for data integration in medicine based on a public metadata repository
  4. 364
    por Liang, Chen, Sun, Jingchun, Tao, Cui
    Publicado 2016
    “…The overarching goal of this research is to build a framework of ontology — based data integration underpinning psychiatric drug repurposing. …”
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    Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing
  5. 365
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    From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration
  6. 366
    “…Multiple databases interfaced from user-friendly web tools recently emerged to facilitate the task of protein interaction data retrieval and data integration. Nevertheless, as we evidence in this report, despite the current efforts towards data integration, the quality of the information on protein interactions retrieved by in silico approaches is frequently incomplete and may even list false interactions. …”
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    Protein-Protein Interactions: Gene Acronym Redundancies and Current Limitations Precluding Automated Data Integration
  7. 367
    “…The choice of terminology notwithstanding, a number of recent Bayesian WoE-based methods, the emergence of multi criteria decision analysis for WoE applications, as well as the general principles behind the foundational concepts of WoE, show promise in how to move forward and regain trust in the data integration step of the assessments. We offer our thoughts on the current state of WoE as a whole and while we acknowledge that many WoE applications have been largely qualitative and subjective in nature, we see this as an opportunity to turn WoE towards a quantitative direction that includes Bayesian and multi criteria decision analysis.…”
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    From "Weight of Evidence" to Quantitative Data Integration using Multicriteria Decision Analysis and Bayesian Methods
  8. 368
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    Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer
  9. 369
    “…In this paper, we compare our two-tiered clustering approach against two existing heterogeneous data integration approaches with reference to the Anatomical Therapeutic Chemical (ATC) classification, using GSOM. …”
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    A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration
  10. 370
    “…Using the global-as-view data integration approach, we created mapping axioms to link the data elements in different sources to OCRV. …”
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    An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
  11. 371
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    Foundry: a message-oriented, horizontally scalable ETL system for scientific data integration and enhancement
  12. 372
    por Yan, Kang K., Zhao, Hongyu, Pang, Herbert
    Publicado 2017
    “…Several algorithms have been proposed so far, however, a comprehensive comparison of data integration algorithms for classification of binary traits is currently lacking. …”
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    A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits
  13. 373
    “…We introduce Weighted Orthogonal Nonnegative parallel factor analysis (WON-PARAFAC), a data integration method that identifies sparse and interpretable factors. …”
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    Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
  14. 374
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    Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform
  15. 375
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    HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region
  16. 376
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    Big data integration and analytics to prevent a potential hospital outbreak of COVID-19 in Taiwan
  17. 377
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    CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
  18. 378
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    The challenges in data integration – heterogeneity and complexity in clinical trials and patient registries of Systemic Lupus Erythematosus
  19. 379
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    Data Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish Interoperability
  20. 380
    por Jung, Sascha, del Sol, Antonio
    Publicado 2020
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    Multiomics data integration unveils core transcriptional regulatory networks governing cell-type identity
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