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  1. 1521
    “…An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. …”
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    Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
  2. 1522
    “…Here, we establish transcriptomic and epigenomic landscapes of the substantia nigra by profiling 113,207 nuclei obtained from healthy controls and patients with PD. Our multiomics data integration provides cell type annotation of 128,724 cis-regulatory elements (cREs) and uncovers cell type–specific dysregulations in cREs with a strong transcriptional influence on genes implicated in PD. …”
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    Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses
  3. 1523
    “…GEMs can also be tailored to generate context-specific GEMs, using omics data integration approaches. To date, many integration approaches have been developed, however, each with specific pros and cons; and none of these algorithms systematically outperforms the others. …”
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    Metabolic function-based normalization improves transcriptome data-driven reduction of genome-scale metabolic models
  4. 1524
    por Zhuang, Yucheng, Huang, Yikun, Liu, Wenyu
    Publicado 2023
    “…Sensor ontology matching achieves data integration and sharing between sensors by establishing semantic relationships between sensor devices. …”
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    Integrating Sensor Ontologies with Niching Multi-Objective Particle Swarm Optimization Algorithm
  5. 1525
    “…Essential concepts involved in network medicine are highlighted, and specific research applying network medicine to study AF is discussed. Additionally, data integration through literature mining and bioinformatics tools, with network building, is exemplified. …”
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    Reviewing Atrial Fibrillation Pathophysiology from a Network Medicine Perspective: The Relevance of Structural Remodeling, Inflammation, and the Immune System
  6. 1526
    “…Single-cell references with comprehensive cell types, reproducible and functionally validated cell identities, and common nomenclatures are much needed by the research community for automated cell type annotation, data integration, and data sharing. Here, we develop a computational pipeline utilizing the LungMAP CellCards as a dictionary to consolidate single-cell transcriptomic datasets of 104 human lungs and 17 mouse lung samples to construct LungMAP single-cell reference (CellRef) for both normal human and mouse lungs. …”
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    Guided construction of single cell reference for human and mouse lung
  7. 1527
    “…While issues with standardisation, ethics, and data integration continue, collaboration within research, clinical practice, and policy realms fuels positive developments. …”
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    Navigating Early Alzheimer's Diagnosis: A Comprehensive Review of Diagnostic Innovations
  8. 1528
    por Yeung, Howa, Li, Yin, Swerlick, Robert A.
    Publicado 2023
    “…These tools capture structured data, integrate into electronic health records, and create summary reports in real time to assist decision-making. …”
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    The Changing Tasks of Medicine and Dermatology in the Twenty-First Century: The Need for Improved Information Capture Tools and Processes
  9. 1529
    “…Experimental results demonstrate the satisfying frequency of video-based HAB monitoring (once per second) and the valuable results of multi-source data integration and analysis for HAB management. This study demonstrated the high value of the constructed DTLF in accurate monitoring and scientific management of HABs in lakes.…”
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    A Digital Twin Lake Framework for Monitoring and Management of Harmful Algal Blooms
  10. 1530
    “…Biomedical ontologies provide essential domain knowledge to drive data integration, information retrieval, data annotation, natural-language processing and decision support. …”
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    BioPortal: ontologies and integrated data resources at the click of a mouse
  11. 1531
    “…Results: We have created an integrated dataset for Saccharomyces cerevisiae using the semantic data integration tool Ondex, and have developed a view-based visualization technique that allows for concise graphical representations of the integrated data. …”
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    Customizable views on semantically integrated networks for systems biology
  12. 1532
    “…Accurate protein identification in large-scale proteomics experiments relies upon a detailed, accurate protein catalogue, which is derived from predictions of open reading frames based on genome sequence data. Integration of mass spectrometry-based proteomics data with computational proteome predictions from environmental metagenomic sequences has been challenging because of the variable overlap between proteomic datasets and corresponding short-read nucleotide sequence data. …”
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    Strategies for Metagenomic-Guided Whole-Community Proteomics of Complex Microbial Environments
  13. 1533
    “…A recent approach of defining terms using logical definitions is now increasingly being adopted as a method for quality control as well as for facilitating interoperability and data integration. RESULTS: We show how automated reasoning over logical definitions of ontology terms can be used to improve ontology structure. …”
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    Improving ontologies by automatic reasoning and evaluation of logical definitions
  14. 1534
    “…This can be facilitated by putting accessible and automated approaches analysing the current wealth of ‘omic’-scale data in the hands of researchers who are directly addressing biological questions. Data integration techniques and standardized, automated, high-throughput analyses are needed to manage the data available as well as to help narrow down the excessive number of target gene possibilities presented by modern databases and system-level resources. …”
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    CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data
  15. 1535
    por Gaquerel, Emmanuel, Baldwin, Ian T.
    Publicado 2013
    “…Finally, we briefly discuss the use of multi-platform data integration for probing the nature of metabolic and regulatory systems underlying VOC emissions.…”
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    Honing in on phenotypes: comprehensive two-dimensional gas chromatography of herbivory-induced volatile emissions and novel opportunities for system-level analyses
  16. 1536
    “…NetWeAvers is an R package that provides a novel method for analyzing proteomics data integrated with biological networks. The method includes an algorithm for finding dense clusters of proteins and a permutation algorithm to calculate cluster P-values. …”
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    NetWeAvers: an R package for integrative biological network analysis with mass spectrometry data
  17. 1537
    “…We describe the coding schema and key system features as well as several development challenges, including data integration, development of a final data structure from three separate ontologies, and ways to develop consensus about codes among program staff.…”
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    Greatest ‘HITS’: A new tool for tracking impacts at the National Institute of Environmental Health Sciences
  18. 1538
    por Lambrix, Patrick, Ivanova, Valentina
    Publicado 2013
    “…BACKGROUND: With the increased use of ontologies and ontology mappings in semantically-enabled applications such as ontology-based search and data integration, the issue of detecting and repairing defects in ontologies and ontology mappings has become increasingly important. …”
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    A unified approach for debugging is-a structure and mappings in networked taxonomies
  19. 1539
    “…The results suggest that the expansion of the feature space through the data integration, achieved by the exploitation of imputation schemes in general, aids the classification task, imparting stability as regards the derivation of putative classifiers. …”
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    Integration of High-Volume Molecular and Imaging Data for Composite Biomarker Discovery in the Study of Melanoma
  20. 1540
    “…This study presents the results of a major data integration project bringing together primary archaeozoological data for over 200,000 faunal specimens excavated from seventeen sites in Turkey spanning the Epipaleolithic through Chalcolithic periods, c. 18,000-4,000 cal BC, in order to document the initial westward spread of domestic livestock across Neolithic central and western Turkey. …”
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    Data Sharing Reveals Complexity in the Westward Spread of Domestic Animals across Neolithic Turkey
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