“…Taking into account the diversity of cancer genomes and phenotypes, interpretation of abundant mutation information from WGS, especially non‐coding and structure variants, requires the analysis of large‐scale WGS data integrated with RNA‐Seq, epigenomics, immuno‐genomic and clinic‐pathological information.…”
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“…In this mini-review, we use a number of recent “multi-omics” approaches realized in our laboratories as a common theme to discuss possible pitfalls of applying “omics” approaches and to highlight some useful tools for data integration and visualization in the form of an exemplified case study. …”
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“…PGD also performed a series of additional pages for a genomic browser that visualizes genomic data interactively, bulk data download, a detailed user manual, and data integration information. PGD was developed with the capacity to integrate future data resources, and will be used as a long-term and open access database to facilitate the study of the biology, distribution, and the evolution of pineapple and the relative plant species. …”
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“…However, it may be necessary to apply the concept of One Health to surveillance tasks beyond data integration to realize the full value of the approach. …”
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“…Geological Survey’s Community for Data Integration (CDI). We found that the various outputs are widely accessible, but not necessarily sustained or maintained. …”
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“…One key task in data integration is the calculation of similarities between records to identify pairs or sets of records that correspond to the same real-world entities. …”
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“…Whilst approaches for integrating single-cell data are emerging and are far from being standardized, most data integration, cell clustering, cell trajectory, and analysis pipelines employ a dimension reduction step, frequently principal component analysis (PCA), a matrix factorization method that is relatively fast, and can easily scale to large datasets when used with sparse-matrix representations. …”
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“…Our analysis revealed how multi-omics datasets could be exploited to drive precision oncology, but also current limitations in the development of multi-omics data integration.…”
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“…We discuss methods used for data collection, cleaning and pre-processing of the solar active region and flare data, and we further describe a novel data integration and sampling methodology. Our dataset covers 4,098 MVTS data collections from active regions occurring between May 2010 and December 2018, includes 51 flare-predictive parameters, and integrates over 10,000 flare reports. …”
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“…Multimodal neuromonitoring involves data-guided therapeutic interventions by employing various tools and data integration to understand brain physiology. Monitors provide real-time information on cerebral hemodynamics, oxygenation, metabolism, and electrophysiology. …”
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“…This motivates the use of data integration, combining data from diverse sources and eliciting useful information with a unified view of them. …”
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“…Cardiopulmonary exercise testing data, integrated in scores such as the Metabolism Exercise Cardiac Kidney Index score have been shown to improve the risk stratification of these patients. …”
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“…Additionally, prospects about current changelings and solution strategies were outlined for identifying future research directions. This type of data integration strategy presents an effective platform for inquiry and comparison of relevant information, providing a tool for further study about CRC-related microbes and exploration of factors promoting clinical transformation (available at: http://gsbios.com/index/experimental/dts_ mben?…”
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“…These articles cover methods and applications for single cell RNA sequencing, multi-omics data integration for gene regulation, gene fusion detection from long-read RNA sequencing, gene co-expression analysis of metabolic pathways in cancer, integrative genome-wide association studies (GWAS) of subcortical imaging phenotype in Alzheimer’s disease, as well as deep learning methods for protein structure prediction, metabolic pathway membership inference, and horizontal gene transfer (HGT) insertion sites prediction.…”
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“…We demonstrate that scVI and scANVI compare favorably to state‐of‐the‐art methods for data integration and cell state annotation in terms of accuracy, scalability, and adaptability to challenging settings. …”
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“…The presented studies are organized in two ways — by the way the environment interactions are modelled — via external constraints or data-integration and by the studied environmental interactions — abiotic or biotic.…”
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“…A computational approach for aligning different datasets and hence identifying related clusters will be useful for data integration and interpretation in large scale single-cell experiments. …”
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“…The methodology used in this analysis was centred on the previous studies database, lithology-based data disintegration and data integration to establish lithology based simple regression (SR) equations. …”
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“…Aiming at the problem that the hot metal silicon content is not consistent with the detection period of time series of multiple control parameters, the cubic spline interpolation fitting model was used to realize the data integration of multiple detection periods. The large time delay of the blast furnace iron making process was analyzed. …”
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“…To cope with this data flood, computational approaches, web services, and databases have been implemented to deal with issues such as data integration, visualization, exploration, organization, scalability, and complexity. …”
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