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  1. 2061
    “…We aimed to address this issue by developing a new data integration/representation methodology and its application by constructing a biological data resource. …”
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    Online Artículo Texto
    CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
  2. 2062
    por Cerina, Roberto, Duch, Raymond
    Publicado 2021
    “…For the post-stratification frame we propose a novel Data Integration approach that allows the simultaneous estimation of counts from multiple complementary sources, such as census tables and auxiliary surveys. …”
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    Online Artículo Texto
    Polling India via regression and post-stratification of non-probability online samples
  3. 2063
    “…This analysis broadens our knowledge about the presence of multiple ancestries in Imperial Rome, marking a starting point for future data integration as part of interdisciplinary research on human mobility and the bio-cultural characteristics of people employed in dedicated workshops.…”
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    First Glimpse into the Genomic Characterization of People from the Imperial Roman Community of Casal Bertone (Rome, First–Third Centuries AD)
  4. 2064
    “…We therefore developed a novel network pharmacology approach based on multi-omics functional data integration to predict how stingray venom disrupts the physiological systems of target animals. …”
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    Stingray Venom Proteins: Mechanisms of Action Revealed Using a Novel Network Pharmacology Approach
  5. 2065
    “…RESULTS: Here, as a novel nonlinear deep learning method, Data Integration with Deep Learning (DIDL) was proposed to predict inter-omics interactions. …”
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    A deep learning approach to predict inter-omics interactions in multi-layer networks
  6. 2066
    por Yu, Tianwei
    Publicado 2022
    “…Here we report a deep learning setup, named Autoencoder-based Integrative Multi-omics data Embedding (AIME), to extract data representation for omics data integrative analysis. The method can adjust for confounder variables, achieve informative data embedding, rank features in terms of their contributions, and find pairs of features from the two data types that are related to each other through the data embedding. …”
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    Online Artículo Texto
    AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments
  7. 2067
    “…In the present study, O-glycans from three human colorectal cancer cell lines and two human pancreatic cancer cell lines were released by semi-automated, high throughput reductive β-elimination and analysed using ultrahigh resolution MALDI-FT-ICR MS. Automated data integration and processing was performed using MassyTools, where the analyte was automatically included for relative quantitation based on a range of selection criteria including signal-to-noise ratio, mass error and isotopic pattern quality scores. …”
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    A semi-automated, high throughput approach for O-glycosylation profiling of in vitro established cancer cell lines by MALDI-FT-ICR MS
  8. 2068
    “…In particular, since this type of research is usually performed by a team of medical researchers working individually with many patients, it can greatly benefit from the use of a Web-GIS, which provides remote access to data integration, storage and analysis tools. However, most existing Web-GIS solutions dedicated for disease mapping either exhibit limited functionality and interactivity (often due to the use of a thin-client approach) or are tied to a particular technological platform through a thick client based on a browser plugin. …”
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    A novel architecture of Web-GIS for mapping and analysis of echinococcosis in Poland
  9. 2069
    “…To assess the aggregate role of human genetics on the gut microbiome composition and function, we apply sparse canonical correlation analysis (sCCA), a flexible, multivariate data integration method. A critical attribute of metagenome data is its sparsity, and here we propose application of a Tweedie distribution to accommodate this. …”
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    Online Artículo Texto
    Collective effects of human genomic variation on microbiome function
  10. 2070
    “…[Image: see text] The rapid deployment of the fifth-generation (5G) spectrum by the telecommunication industry is intended to promote better connectivity and data integration among various industries. However, concerns among the public about the safety and health effects of radiofrequency radiations (RFRs) emitted from the newer-generation cell phone frequencies remain, partly due to the lack of robust scientific data. …”
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    Transcriptomic and Long-Term Behavioral Deficits Associated with Developmental 3.5 GHz Radiofrequency Radiation Exposures in Zebrafish
  11. 2071
    “…Cross-validation proved the patterns observed through both MD simulation and public data integration. Lastly, 148 HTNV variants yielded six types of major amino acid residue replacements involving four in nine hotspots, which minimally influenced the general potential of MHC-I superfamily presentation. …”
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    Comparative Immunoreactivity Analyses of Hantaan Virus Glycoprotein-Derived MHC-I Epitopes in Vaccination
  12. 2072
    “…BACKGROUND: Clinical decision support systems often adopt and operationalize existing clinical practice guidelines leading to higher guideline availability, increased guideline adherence, and data integration. Most of these systems use an internal state-based model of a clinical practice guideline to derive recommendations but do not provide the user with comprehensive insight into the model. …”
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    System for Context-Specific Visualization of Clinical Practice Guidelines (GuLiNav): Concept and Software Implementation
  13. 2073
    “…FIRM is also a facile way to transfer cell type labels and annotations from one dataset to another, making it a reliable and versatile tool for scRNA-seq analysis, especially for cell atlas data integration.…”
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    FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets
  14. 2074
    “…Machine learning through a proteotranscriptomic data integration uncovered TGF-beta signaling as a confluent activation node by the SARS-CoV-2 structural proteome. …”
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    Metabolic dyshomeostasis induced by SARS-CoV-2 structural proteins reveals immunological insights into viral olfactory interactions
  15. 2075
    “…Identification of SEGs, especially among both healthy and diseased tissues, is of clinical relevance to enable more accurate data integration, gene expression comparison and biomarker detection. …”
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    Identification of Human Global, Tissue and Within-Tissue Cell-Specific Stably Expressed Genes at Single-Cell Resolution
  16. 2076
    “…All electrophysiological recordings are provided in the Neurodata Without Borders (NWB) format and are available for further analysis via the Distributed Archives for Neurophysiology Data Integration online repository. The associated data conversion code is made publicly available and can help others in converting electrophysiology datasets to the open NWB standard for general reuse. …”
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    An in vitro whole-cell electrophysiology dataset of human cortical neurons
  17. 2077
    “…Integrative multivariate statistical analysis, performed with data integration analysis for biomarker discovery using latent components (DIABLO), depicted the 10 most-relevant features. …”
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    Gilthead Seabream Liver Integrative Proteomics and Metabolomics Analysis Reveals Regulation by Different Prosurvival Pathways in the Metabolic Adaptation to Stress
  18. 2078
    por Hao, Yaru, Jing, Xiao-Yuan, Sun, Qixing
    Publicado 2022
    “…Based on these genomic data, some data-integration methods for cancer survival prediction have been proposed. …”
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    Joint learning sample similarity and correlation representation for cancer survival prediction
  19. 2079
    “…We report a 59% objective response rate for the individually tailored therapies, including 13 complete responses, as well as bridging five patients with AML to allogeneic hematopoietic stem cell transplantation. Data integration across all cases enabled the identification of drug response biomarkers, such as the association of IL15 overexpression with resistance to FLT3 inhibitors. …”
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    Implementing a Functional Precision Medicine Tumor Board for Acute Myeloid Leukemia
  20. 2080
    “…Close collaboration and multilevel data integration across functions, including chemistry, manufacturing, and control, biomarkers, bioanalytical, and clinical science and safety teams will be critical to ACT development. …”
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    Clinical Pharmacology Perspectives for Adoptive Cell Therapies in Oncology
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