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1201por Soares, Amilcar“…In particular, readers will find descriptions and applications of the more recent methods of stochastic simulation together with data integration techniques applied to the modelling of hydrocabon reservoirs. …”
Publicado 1993
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1202“…We describe steps for downloading processed scRNA-seq data, integrating samples across different conditions, and performing cluster analysis. …”
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1203“…Digital brain atlases are useful as references, analytical tools, and as a data integration framework. As a result, they and their supporting tools are being recognized as potentially useful resources in the movement toward data sharing. …”
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1204por Battye, T. Geoff G., Kontogiannis, Luke, Johnson, Owen, Powell, Harold R., Leslie, Andrew G. W.“…iMOSFLM is a graphical user interface to the diffraction data-integration program MOSFLM. It is designed to simplify data processing by dividing the process into a series of steps, which are normally carried out sequentially. …”
Publicado 2011
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1205“…RESULTS: Here we introduce FANTOM, a tool that allows for exploratory and comparative analysis of metagenomics abundance data integrated with metadata information and biological databases. …”
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1206por Keating, Susan M., Taylor, D. Lansing, Plant, Anne L., Litwack, E. David, Kuhn, Peter, Greenspan, Emily J., Hartshorn, Christopher M., Sigman, Caroline C., Kelloff, Gary J., Chang, David D., Friberg, Gregory, Lee, Jerry S. H., Kuida, Keisuke“…Since 2013, leading experts representing industry, academia, and government have been brought together as part of the Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium to foster the potential of high‐content data integration for clinical translation.…”
Publicado 2018
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1207por Tanoli, ZiaurRehman, Alam, Zaid, Vähä-Koskela, Markus, Ravikumar, Balaguru, Malyutina, Alina, Jaiswal, Alok, Tang, Jing, Wennerberg, Krister, Aittokallio, Tero“…Drug Target Commons (DTC) is a web platform (database with user interface) for community-driven bioactivity data integration and standardization for comprehensive mapping, reuse and analysis of compound–target interaction profiles. …”
Publicado 2018
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1208“…A mixed methodology is used to triangulate the data, integrating the critical analysis of discourse and two types of statistical analysis: descriptive (frequencies and percentages) and inferential (χ(2), ANOVA, and the Mann-Whitney U Test). …”
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1209por Blum, Matthias, Cholley, Pierre-Etienne, Malysheva, Valeriya, Nicaise, Samuel, Moehlin, Julien, Gronemeyer, Hinrich, Mendoza-Parra, Marco Antonio“…Here, we present qcGenomics, a user-friendly online resource for ultrafast retrieval, visualization, and comparative analysis of tens of thousands of genomics datasets to gain new functional insight from global or focused multidimensional data integration.…”
Publicado 2019
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1210por Cormier, Michael J., Belyeu, Jonathan R., Pedersen, Brent S., Brown, Joseph, Köster, Johannes, Quinlan, Aaron R.“…GGD is available on Github (https://gogetdata.github.io/), is extendable to other data types, and can streamline the complexities typically associated with data integration, saving researchers time and improving research reproducibility.…”
Publicado 2021
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1211por Ferrari, Luisa, Gerardi, Giuseppe, Manzi, Giancarlo, Micheletti, Alessandra, Nicolussi, Federica, Biganzoli, Elia, Salini, Silvia“…In this paper, we develop a forecasting model for the spread of COVID-19 infection at a provincial (i.e., EU NUTS-3) level in Italy by using official data from the Italian Ministry of Health integrated with data extracted from daily official press conferences of regional authorities and local newspaper websites. This data integration is needed as COVID-19 death data are not available at the NUTS-3 level from official open data channels. …”
Publicado 2021
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1212“…We present a computational heterogeneous data integration and mining protocol that combines transcriptional signatures from multiple model systems, protein-protein interactions, single-cell RNA-seq markers, and phenotype-genotype associations to identify functional feature complexes. …”
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1213“…We cover both basic data processing and analysis steps, as well as more advanced data integration methods. A particular focus is given to network-based methods. …”
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1214por Kozak, Karol, Seidel, André, Matvieieva, Nataliia, Neupetsch, Constanze, Teicher, Uwe, Lemme, Gordon, Ben Achour, Anas, Barth, Martin, Ihlenfeldt, Steffen, Drossel, Welf-Guntram“…OBJECTIVE: We address cross-domain data integration including access control using the specific example of a unique device identification (UDI)–expanded hip implant. …”
Publicado 2023
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1215por Roman, Faustin Laurentiu, Abler, Daniel, Kanellopoulos, Vassiliki, Amoros, Gabriel, Davies, Jim, Dosanjh, Manjit, Jena, Raj, Kirkby, Norman, Peach, Ken, Salt, Jose“…The essential contribution of the work reported here lies in the novel data integration and reporting methods, as well as the approach to software sustainability achieved through the use of community-supported open-source components.…”
Publicado 2013
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1216“…Given the global efforts for building cell atlases and the increasing number of annotated scRNA-seq datasets accumulated, we propose a supervised strategy for scRNA-seq data integration called SIDA (Supervised Integration using Domain Adaptation), which uses the cell type annotations to guide the integration of diverse batches. …”
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1217por Moiroux-Arvis, Laure, Royer, Laurent, Sarramia, David, De Sousa, Gil, Claude, Alexandre, Latour, Delphine, Roussel, Erwan, Voldoire, Olivier, Chardon, Patrick, Vandaële, Richard, Améglio, Thierry, Chanet, Jean-Pierre“…The communicating node based on LoRaWAN technology presented in this article is open and allows the interfacing of numerous sensors for designing long-term environmental monitoring systems of isolated sites. The data integration in the cloud is ensured by a workflow driving the storage and indexing of data, allowing a simple and efficient use of the data for different users (scientists, administration, citizens) through specific dashboards and extractions. …”
Publicado 2023
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1218“…We applied and combined two main approaches for data integration to a GWAS for rheumatoid arthritis, gene set enrichment analysis (GSEA) and hierarchical Bayes prioritization (HBP). …”
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1219por Ellrott, Kyle, Zmasek, Christian M., Weekes, Dana, Sri Krishna, S., Bakolitsa, Constantina, Godzik, Adam, Wooley, John“…Semantic web technologies expand and enrich TOPSAN’s content through links to larger sets of related databases, and thus, enable data integration from disparate sources and data mining via conventional query languages. …”
Publicado 2011
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1220por Samwald, Matthias, Dumontier, Michel, Zhao, Jun, Luciano, Joanne S, Marshall, Michael Scott, Cheung, Kei“…This article proposes an approach to use linked open data and Semantic Web technologies to address the heterogeneous data integration problem. The approach is based on our initial experiences with implementing an integrated web of data for a selected use-case, i.e., the identification of plant species used in Chinese medicine that indicate potential antidepressant activities.…”
Publicado 2010
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