“…RESULTS: A lightweight method for data integration is used, which links information regarding a protein via a path-based query graph. …”
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“…BACKGROUND: In recent years data integration has become an everyday undertaking for life sciences researchers. …”
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“…In this paper, we present an approach for the semantic integration of heterogeneous data sources, DIF (Data Integration Framework), and a software prototype to support all aspects of a complex data integration process. …”
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“…Meanwhile, the vast amount of data from various modalities, such as genetics, proteomics, transcriptomics, and imaging, as well as clinical features impose great challenges in data integration and analysis. Machine learning (ML) methods offer novel techniques to address high dimensional data, integrate data from different sources, model the etiological and clinical heterogeneity, and discover new biomarkers. …”
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“…Exemplarily, data of a Sonic hedgehog (Shh) medulloblastoma mouse model were analyzed, showing efficient data integration independent of tissue preservation strategy or batch. …”
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“…Therefore, we developed matching with partial overlap (MARIO) to enable confident and accurate matching for multimodal data integration and cross-species analysis.…”
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“…Through the development of standardised protocols, data integration tools and ongoing training programmes, NCITA provides a unique scalable infrastructure for imaging biomarker qualification using multicentre clinical studies.…”
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“…The rapid advances in high-throughput sequencing technologies provide an increasing amount of multi-omics data, which benefits our understanding of cancer genetic architecture, and yet poses new challenges in multi-omics data integration. RESULTS: We propose a graph convolutional network model, called MRGCN for multi-omics data integrative representation. …”
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“…This Review seeks to illustrate the power of data integration in the genomic era exemplified by DNA methylation quantitative trait loci. …”
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“…This forum analysed the status quo of data and model standards and reflected on possibilities as well as challenges for cross-domain data integration to facilitate in silico modelling approaches for personalized medicine.…”
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“…The primary objectives of the workshop were to highlight recent applications of geospatial technologies to examine the relationships between environmental exposures and health outcomes; identify research gaps and discuss future directions for exposure modeling, data integration and data analysis strategies; and facilitate communications and collaborations across geospatial and population health experts. …”
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“…There is a high need to address aspects like data privacy, data integration, interoperability standards, appropriate IT infrastructure, and education of staff. …”
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“…Data can be entered or uploaded manually in six CDSSs, whereas for four CDSSs no information for data integration was available. Only seven CDSSs allow further ways of data integration. thirteen CDSS do not provide information about clinical usage. …”
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“…CONCLUSIONS: The Infinium and Axiom SNP array data were mostly compatible. However, data integration required intense data filtering and curation. …”
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“…We consider such a harmonization would provide computable semantics of the models, thus facilitate the model reuse, model harmonization and data integration.1…”
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“…--HTML-->Pentaho is a service offered for creating and designing reports, generating analytics and data integration. The current system exists as two instances- one with SSO authentication and another with basic authentication. …”
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“…Examples are provided on how to achieve efficient workflows and data standardization, as well as data outputs and data integration.…”
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“…Our methodology is the first supervised learning approach for predicting transcriptional cooperativity, compares favorably to alternative unsupervised methodologies, and can be applied to other genomic data integration tasks where high-quality gold-standard positive data are scarce.…”
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“…BACKGROUND: Understanding of immune response mechanisms of pathogen-infected host requires multi-scale analysis of genome-wide data. Data integration methods have proved useful to the study of biological processes in model organisms, but their systematic application to the study of host immune system response to a pathogen and human disease is still in the initial stage. …”
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“…One of the challenges in meeting this goal is the necessary integration of experimental results from multiple biological levels for further analysis by data mining. Data integration in the life science is still a struggle, and many groups are looking to the benefits promised by the Semantic Web for data integration. …”
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