Mostrando 1,101 - 1,120 Resultados de 2,862 Para Buscar '"data integrity"', tiempo de consulta: 0.43s Limitar resultados
  1. 1101
    “…In this respect, sensor fusion is used to limit the drift errors resulting from the gyroscope data integration by exploiting accelerometer and magnetic aiding sensors. …”
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  2. 1102
    “…Our two-dimensional data integration approach greatly increases the power of statistical analysis and correctly identifies pathways known to be implicated in the phenotypes. …”
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  3. 1103
    por Garcia, David
    Publicado 2017
    “…Social interaction and data integration in the digital society can affect the control that individuals have on their privacy. …”
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    Online Artículo Texto
  4. 1104
    “…Currently there is no standardized approach for comprehensive root system characterization, suggesting the need for data integration across methods and sources. Here, we combine field measured root descriptors from the classical Root Atlas series with traits from controlled-environment root imaging for 10 cover crop species to (i) detect descriptors scaling between distant experimental methods, (ii) provide traits for species classification, and (iii) discuss implications for cover crop ecosystem functions. …”
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  5. 1105
    “…METHODS AND RESULTS: The performance of two data integration tools, similarity network fusion tool (SNFtool) and Data Integration Analysis for Biomarker discovery using Latent variable approaches for “Omics” (DIABLO; MixOmics), in discriminating responses to diet and metabolic phenotypes is investigated by combining transcriptomics and metabolomics datasets from three human intervention studies: a postprandial crossover study testing dairy foods (n = 7; study 1), a postprandial challenge study comparing obese and non‐obese subjects (n = 13; study 2); and an 8‐week parallel intervention study that assessed three diets with variable lipid content on fasting parameters (n = 39; study 3). …”
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  6. 1106
    “…PERFORMANCE: We outline research and clinical applications for the platform, including data integration support for building feature sets for classification. …”
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  7. 1107
    “…NEIMiner consists of four components: NEI modeling framework, data integration, data management and access, and model building. …”
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  8. 1108
    “…We further demonstrate how NGS-derived genomic and other clinical data can be combined for further statistical analysis, thereby providing for data integration using standardized vocabularies and methods. …”
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  9. 1109
  10. 1110
  11. 1111
    “…Although the number of reconstructed metabolic networks is steadily growing, experimental data integration into these networks is still challenging. …”
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  12. 1112
    por Do, Long Hoang, Bier, Ethan
    Publicado 2011
    “…This tool has proven invaluable for designing a new data integration platform known as Booly, and has wide applicability to situations in which a dedicated efficient aliasing system is required. …”
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  13. 1113
    “…In addition, detecting malicious IVs, data integration, and data validation are major issues in VNs that affect network performance. …”
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  14. 1114
    “…METHODS: Informed by the National Institute on Minority Health and Health Disparities (NIMHD) research framework, we (1) reviewed existing reporting guidelines from the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) network and (2) developed a theory-driven reporting guideline to guide the RF variable selection, data source selection, and data integration process. Then, we developed an ontology to standardize the documentation of the RF selection and data integration process in mIDA studies. …”
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  15. 1115
  16. 1116
  17. 1117
    “…However, one obstacle faced when performing multi-omics data integration is the existence of unpaired multi-omics data due to instrument sensitivity and cost. …”
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  18. 1118
    “…However, one obstacle faced when performing multi-omics data integration is the existence of unpaired multi-omics data due to instrument sensitivity and cost. …”
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  19. 1119
  20. 1120
    “…A plethora of batch-effect correction algorithms are proposed to facilitate data integration. However, their respective advantages and limitations are not adequately assessed in terms of omics types, the performance metrics, and the application scenarios. …”
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