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  1. 1601
    “…Our results indicate that the proposed quality-adjusted weighting strategy for modelling inter-study variation of gene expression profiles not only increases consistency and decreases heterogeneous results between these two datasets, but also identifies many more differentially expressed genes than methods proposed previously. CONCLUSION: Data integration and synthesis is becoming increasingly important. …”
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    Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
  2. 1602
    por Jia, P, Sun, J, Guo, AY, Zhao, Z
    Publicado 2010
    “…Moreover, SZGR provides online tools for data browse and search, data integration, custom gene ranking, and graphical presentation. …”
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    SZGR: a comprehensive schizophrenia gene resource
  3. 1603
    “…Moreover, these studies have also paved the way to the development of data integration approaches in order to facilitate management and analysis of data and to identify novel disease markers and molecular targets to use in the clinics. …”
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    Transcriptome Profiling in Human Diseases: New Advances and Perspectives
  4. 1604
    “…The results of this data integration process comprise two datasets: 1) A dataset containing information on all human protein-coding genes that can be used to analyse the number of scientific publications in context of the potential disease relevance of the individual genes. 2) A table with the annual and cumulated number of PubMed entries. …”
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    Dataset of the frequency patterns of publications annotated to human protein-coding genes, their protein products and genetic relevance
  5. 1605
    “…This review begins with analyzing a single ome and study design, and then synthesizes best practices in data integration techniques that include machine learning. …”
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    A Customizable Analysis Flow in Integrative Multi-Omics
  6. 1606
    por Jendoubi, Takoua
    Publicado 2021
    “…Here, we review and propose five criteria—hypothesis, data types, strategies, study design and study focus— to classify statistical multi-omics data integration approaches into state-of-the-art classes under which all existing statistical methods fall. …”
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    Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer
  7. 1607
    “…We will summarize the underlying complexities of these methods and shed light upon the necessary considerations and requirements for data integration. It is our hope to provide compelling evidence to emphasize on the need for inclusion of integrative data analysis in modern cancer therapy, and thereupon paving a path towards precision medicine and better patient outcomes.…”
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    Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
  8. 1608
    por Ebner, Joshua Niklas
    Publicado 2021
    “…Advances in these interdisciplinary fields depend not only on conceptual leaps but also on technological advances and data integration. High-throughput “omics” technologies enabled the measurement of molecular changes at virtually all levels of an organism’s biological organization and thus continue to influence how the impacts of stressors are understood. …”
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    Trends in the Application of “Omics” to Ecotoxicology and Stress Ecology
  9. 1609
    por Handhayani, Teny
    Publicado 2023
    “…The column-based data integration model is applied to create integrated data of the Air Quality Index and meteorological conditions. …”
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    An integrated analysis of air pollution and meteorological conditions in Jakarta
  10. 1610
    “…A pilot study and ongoing data integration suggest greater coverage than extant data sets. …”
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    “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters”
  11. 1611
    por Malcomson, F.C., Mathers, J.C.
    Publicado 2023
    “…Translation of these basic research into public health action should include real-time acquisition of nutrigenomic and related data and use of AI-based data integration methods in systems approaches that can be scaled up using mobile devices.…”
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    Translation of nutrigenomic research for personalised and precision nutrition for cancer prevention and for cancer survivors
  12. 1612
    “…We identified six key areas regarding the application of big data in migration research and policy: accessing and utilising data; integrating data sources and knowledge; understanding environmental drivers of migration; improving healthcare access for migrant populations; ethical and security concerns around the use of big data; and addressing political narratives. …”
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    Key opportunities and challenges for the use of big data in migration research and policy
  13. 1613
    “…RNA sequencing of matched fibroblasts demonstrated dysregulation of genes involved in proliferation, DNA repair, and extracellular matrix organization. Data integration identified 110 candidate regulators of disease phenotypes that were linked to fibroblast repair processes using phenotypic screens. …”
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    High‐resolution transcriptomic and epigenetic profiling identifies novel regulators of COPD
  14. 1614
    “…INTUITION is a human brain integrative data system that facilitates multimodal data integration, unified storage, cohort selection, and analysis of multidisciplinary datasets. …”
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    INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery
  15. 1615
    “…We discuss how AtOM can facilitate atlas interoperability and data integration, thereby increasing compliance with the FAIR guiding principles. …”
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    AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures
  16. 1616
    “…We used the triangulation method for qualitative data, integrating the Colorado State University’s Tri-ethnic Center Model and the Delphi Technique for a better understanding of community health needs and priorities. …”
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    Community Forums as Amplifiers of Communities’ Voices: Isolated Communities in Puerto Rico
  17. 1617
    “…We also discuss the application prospect of single-cell multiomics, and we believe that with the progress of data integration from various transcriptomics, a multilayered subcellular landscape will be revealed.…”
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    Novel insights from spatial transcriptome analysis in solid tumors
  18. 1618
    “…Our results demonstrate the effectiveness of coherent data integration to uncover intergenic transcriptional activity in normal and cancer tissues.…”
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    Characterizing intergenic transcription at RNA polymerase II binding sites in normal and cancer tissues
  19. 1619
    “…Here, we present scDREAMER (https://github.com/Zafar-Lab/scDREAMER), a data-integration framework that employs deep generative models and adversarial training for both unsupervised and supervised (scDREAMER-Sup) integration of multiple batches. …”
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    scDREAMER for atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifier
  20. 1620
    “…The Zebrafish Information Network (ZFIN, http://zfin.org), the model organism database for zebrafish, provides the central location for curated zebrafish genetic, genomic and developmental data. Extensive data integration of mutant phenotypes, genes, expression patterns, sequences, genetic markers, morpholinos, map positions, publications and community resources facilitates the use of the zebrafish as a model for studying gene function, development, behavior and disease. …”
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    The Zebrafish Information Network: the zebrafish model organism database provides expanded support for genotypes and phenotypes
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