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  1. 1361
    “…We assembled a country-specific dataset on birth rate and socio-economic factors for 171 countries, using data integrated from publicly available data sources. …”
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    The Impact of the Main Negative Socio-Economic Factors on Female Fertility
  2. 1362
    “…Implementing precision medicine hinges on the integration of omics data, such as proteomics, into the clinical decision-making process, but the quantity and diversity of biomedical data, and the spread of clinically relevant knowledge across multiple biomedical databases and publications, pose a challenge to data integration. Here we present the Clinical Knowledge Graph (CKG), an open-source platform currently comprising close to 20 million nodes and 220 million relationships that represent relevant experimental data, public databases and literature. …”
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    A knowledge graph to interpret clinical proteomics data
  3. 1363
    “…The metadata crosswalk is the foundation of data provision between a Medical Data Integration Center (MeDIC) and researchers, providing a selection of metadata information for research design and requests. …”
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    Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
  4. 1364
    “…This involves single-cell omics technologies, single-cell multi-omics technologies, multiple omics data integration methods, applications in various human organs and diseases, classic laboratory cell lines, and animal disease models. …”
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    Single-cell omics: A new direction for functional genetic research in human diseases and animal models
  5. 1365
    “…Our approach consists of a framework for data integration through the use of a common reference ontology. …”
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    Computational framework to support integration of biomolecular and clinical data within a translational approach
  6. 1366
    “…Thanks to controlled consistency and quality enforced on data integrated in GPKB, and to the procedures used to avoid error propagation during their automatic processing, we could reliably identify many annotations, which we integrated in GPKB. …”
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    Detection of gene annotations and protein-protein interaction associated disorders through transitive relationships between integrated annotations
  7. 1367
    “…Our version of the weighted lasso with data integration found a list of 22 interesting methylation sites. …”
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    Integrated analysis of DNA-methylation and gene expression using high-dimensional penalized regression: a cohort study on bone mineral density in postmenopausal women
  8. 1368
    “…Qualitative data were analyzed using a directed content analysis approach. Data integration was carried out using the joint display method. …”
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    Behavioral intervention grounded in motivational interviewing and behavioral economics shows promise with Black and English-speaking Latino persons living with HIV with unsuppressed HIV viral load in New York City: A mixed methods pilot study
  9. 1369
    por CMS Collaboration
    Publicado 2017
    “…A search for the production of Higgs boson pairs in proton-proton collisions at a centre of mass energy of $13~\mathrm{TeV}$ is presented, making use of a data integrated luminosity of $35.9~\mathrm{fb}^{-1}$ collected with the CMS detector at the LHC. …”
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    Search for pair production of Higgs bosons in the two tau leptons and two bottom quarks final state using proton-proton collisions at $\sqrt{s} = 13~\mathrm{TeV}$
  10. 1370
    por Shin, Andrea, Kashyap, Purna C.
    Publicado 2023
    “…Newer methods for large-scale data integration of complementary omics approaches have further expanded our ability to build a holistic understanding of complex biological networks and their co-contributions to abdominal pain. …”
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    Multi-omics for biomarker approaches in the diagnostic evaluation and management of abdominal pain and irritable bowel syndrome: what lies ahead
  11. 1371
    “…This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed Archives for Neurophysiology Data Integration (DANDI), OpenNeuro, and Brain-CODE. The aim of this review is to describe archives that provide researchers with tools to store, share, and reanalyze both human and non-human neurophysiology data based on criteria that are of interest to the neuroscientific community. …”
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    A Comparison of Neuroelectrophysiology Databases
  12. 1372
    “…As a case study and in combination with nuclear magnetic resonance and mass spectrometry imaging, we explored the distribution of N-acylnornicotines, alkaloids predicted to be specific to Repandae allopolyploids, and revealed their prevalence in the genus, albeit at much lower magnitude, as well as a greater structural diversity than previously thought. Together, the data integration approaches provided here should act as a resource for future research in plant SM evolution.…”
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    Evolutionary metabolomics of specialized metabolism diversification in the genus Nicotiana highlights N-acylnornicotine innovations
  13. 1373
    “…We show that inClust is superior to most data integration methods in benchmark datasets. Then, we demonstrate the capability of inClust in the tasks of conditional out-of-distribution generation in supervised mode, label transfer in semi-supervised mode, and spatial domain identification in unsupervised mode. …”
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    A deep generative framework with embedded vector arithmetic and classifier for sample generation, label transfer, and clustering of single-cell data
  14. 1374
    por Vallée, Alexandre
    Publicado 2023
    “…Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive analytics, optimize clinical operations, and facilitate training and simulation. …”
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    Digital twin for healthcare systems
  15. 1375
    “…This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed Archives for Neurophysiology Data Integration (DANDI), OpenNeuro, and Brain-CODE. The aim of this review is to describe archives that provide researchers with tools to store, share, and reanalyze both human and non-human neurophysiology data based on criteria that are of interest to the neuroscientific community. …”
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    A comparison of neuroelectrophysiology databases
  16. 1376
    “…The database classifies it in terms of significant variables, such as radiation quality, dose, dose rate and sampling timing, as to provide user-friendly tools to facilitate data integration and comparison.…”
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    Radiation Genes: a database devoted to microarrays screenings revealing transcriptome alterations induced by ionizing radiation in mammalian cells
  17. 1377
    “…In this paper, we present the challenges in high-throughput “omics” data integration and analysis, introduce a protein-centric approach for systems integration of large and heterogeneous high-throughput “omics” data including microarray, mass spectrometry, protein sequence, protein structure, and protein interaction data, and use scientific case study to illustrate how one can use varied “omics” data from different laboratories to make useful connections that could lead to new biological knowledge.…”
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    Protein Bioinformatics Infrastructure for the Integration and Analysis of Multiple High-Throughput “omics” Data
  18. 1378
    por Yoneya, Takashi, Miyazawa, Tatsuya
    Publicado 2011
    “…Studies using the spike-in datasets show that the quantile correction for data integration reduces the data quality at some extent but it should be acceptable level. …”
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    Integration of pre-normalized microarray data using quantile correction
  19. 1379
    “…The Protein Interaction Network Analysis (PINA) platform is a comprehensive web resource, which includes a database of unified protein–protein interaction data integrated from six manually curated public databases, and a set of built-in tools for network construction, filtering, analysis and visualization. …”
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    PINA v2.0: mining interactome modules
  20. 1380
    “…While mining the vastness of EMR greatly expands the potential for conducting GWAS, non-standardized representation and wide variability of clinical data and phenotypes pose a major challenge to data integration and analysis. To address this requirement, we present experiences and methods developed to map phenotypic data elements from eMERGE (Electronic Medical Record and Genomics) to PhenX (Consensus Measures for Phenotypes and Exposures) and NCI’s Cancer Data Standards Registry and Repository (caDSR). …”
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    Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects
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