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Mostrando 1,021 - 1,040 Resultados de 2,862 Para Buscar '"data integrity"', tiempo de consulta: 0.47s Limitar resultados
  1. 1021
    “…We demonstrate that multimodal data integration can compensate for systematic errors in some of the data and can greatly increase accuracy and coverage of genome structure models. …”
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    Integrative genome modeling platform reveals essentiality of rare contact events in 3D genome organizations
  2. 1022
    por Angelini, Claudia, Costa, Valerio
    Publicado 2014
    “…We also highlight the lack of data benchmarks and the need to develop tools for data integration from a statistical viewpoint, designed in the spirit of reproducible research.…”
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    Understanding gene regulatory mechanisms by integrating ChIP-seq and RNA-seq data: statistical solutions to biological problems
  3. 1023
    “…In this review, we first introduce recent developments in single-cell multi-omics in general and then focus on the available data integration strategies. The integration approaches are divided into three categories: early, intermediate, and late data integration. …”
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    Computational strategies for single-cell multi-omics integration
  4. 1024
    por Nelson, Amy L. Hawn, Zanti, Sharon
    Publicado 2020
    “…INTRODUCTION: Data integration by local and state governments is undertaken for the public good to support the interconnected needs of families and communities. …”
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    A framework for centering racial equity throughout the administrative data life cycle
  5. 1025
    “…In this comprehensive review, we survey the current landscape of scRNA-seq analysis methods and tools, focusing on count modeling, cell-type annotation, data integration, including spatial transcriptomics, and the inference of cell–cell communication. …”
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    A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication
  6. 1026
    “…We identify major challenges to data integration and present a vision for a “Data as a Service”-oriented architecture to promote reuse of data for discovery. …”
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    From Reductionism to Reintegration: Solving society’s most pressing problems requires building bridges between data types across the life sciences
  7. 1027
    “…BACKGROUND: Epidemiology is a data-intensive and multi-disciplinary subject, where data integration, curation and sharing are becoming increasingly relevant, given its global context and time constraints. …”
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    The epidemiology ontology: an ontology for the semantic annotation of epidemiological resources
  8. 1028
    “…We review some of the most frequently used data integration methods and outline research areas where multi-omics significantly benefit our understanding of the process and outcome of the malignant transformation. …”
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    Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis
  9. 1029
    “…This study explores methodologies for the data integration of antimicrobial use (AMU) and antimicrobial resistance (AMR) results within and across three food animal species, surveyed at the farm-level by the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS). …”
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    Informing Stewardship Measures in Canadian Food Animal Species through Integrated Reporting of Antimicrobial Use and Antimicrobial Resistance Surveillance Data—Part I, Methodology Development
  10. 1030
    por Athieniti, Efi, Spyrou, George M.
    Publicado 2022
    “…To guide the choice of data integration tools, we group them into the scientific objectives they aim to address. …”
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    A guide to multi-omics data collection and integration for translational medicine
  11. 1031
    “…Most of the current reviews focus on describing the development of multi‐omics technologies, data integration, and application to a particular disease; however, few of them provide a comprehensive and systematic introduction of multi‐omics. …”
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    Applications of multi‐omics analysis in human diseases
  12. 1032
    “…High-throughput experiments produce increasingly large datasets that are difficult to analyze and integrate. While most data integration approaches focus on aligning metadata, data integration can be achieved by abstracting experimental results into gene sets. …”
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    modEnrichr: a suite of gene set enrichment analysis tools for model organisms
  13. 1033
    “…Studies to date have focused on elucidating individual long non-coding-microRNA-gene target axes and circular RNA-microRNA-gene target axes, with a paucity of data integrating experimentally validated effects of non-coding RNAs. …”
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    A Network Biology Approach to Understanding the Tissue-Specific Roles of Non-Coding RNAs in Arthritis
  14. 1034
    “…However, fast and computationally inexpensive tools for standardization of cell-type annotation and data integration are still needed in order to increase research inclusivity. …”
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    Fast model-free standardization and integration of single-cell transcriptomics data
  15. 1035
    por Li, Weizhong, Yan, Chaoyu
    Publicado 2023
    “…A commentary on “Multi-omics single-cell data integration and regulatory inference with graph-linked embedding”…”
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    GLUE multimodal single cell data
  16. 1036
    “…This review aims to highlight the need for and problems with complex data integration, and proposes a framework for data integration. …”
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    Integrating post-genomic approaches as a strategy to advance our understanding of health and disease
  17. 1037
    “…In this article we introduce a flexible model-based approach to data integration to address these current limitations: COMBI. …”
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    Model-based joint visualization of multiple compositional omics datasets
  18. 1038
    “…The term components in OBA provide semantic links and enable knowledge and data integration across specialised research community boundaries, thereby breaking silos. …”
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    The Ontology of Biological Attributes (OBA)—computational traits for the life sciences
  19. 1039
    “…These novel features, combined with the existing tools in DIALS, make data integration and refinement feasible for electron crystallography, even in difficult cases.…”
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    Electron diffraction data processing with DIALS
  20. 1040
    “…A variety of ontology, machine learning, deep learning and fuzzy logic-based solutions are being developed for heterogeneous data integration. The proposed model concentrates on the automatic ontology-based data integration method that can be effectively deployed and used in the healthcare domain. …”
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    Semantic Integration of Heterogeneous Data Sources Using Ontology-Based Domain Knowledge Modeling for Early Detection of COVID-19
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