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141por Smoot, Michael E., Ono, Keiichiro, Ruscheinski, Johannes, Wang, Peng-Liang, Ideker, Trey“…Summary: Cytoscape is a popular bioinformatics package for biological network visualization and data integration. Version 2.8 introduces two powerful new features—Custom Node Graphics and Attribute Equations—which can be used jointly to greatly enhance Cytoscape's data integration and visualization capabilities. …”
Publicado 2011
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142“…To address this issue we introduce a systematic data integration method Candidate Genes and SNPs (CANGES) that links SNP and linkage disequilibrium data to pathway- and protein-protein interaction information. …”
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143por Van Deun, Katrijn, Wilderjans, Tom F, van den Berg, Robert A, Antoniadis, Anestis, Van Mechelen, Iven“…Metabolomics data obtained with two measurement platforms for the same set of Escherichia coli samples are used to illustrate the proposed methodology and the properties of different penalties with respect to sparseness across and within data blocks. 3 CONCLUSION: Sparse simultaneous component analysis is a useful method for data integration: First, simultaneous analyses of multiple blocks offer advantages over sequential and separate analyses and second, interpretation of the results is highly facilitated by their sparseness. …”
Publicado 2011
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145“…Summary: Pathview is a novel tool set for pathway-based data integration and visualization. It maps and renders user data on relevant pathway graphs. …”
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148“…Implementation: We consider data integration via the use of multiple kernel learning supervised learning methods. …”
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152por Ebrahim, Ali, Brunk, Elizabeth, Tan, Justin, O'Brien, Edward J., Kim, Donghyuk, Szubin, Richard, Lerman, Joshua A., Lechner, Anna, Sastry, Anand, Bordbar, Aarash, Feist, Adam M., Palsson, Bernhard O.“…We develop advanced data integration methods for multi-level analysis of genomic, transcriptomic, ribosomal profiling, proteomic and fluxomic data. …”
Publicado 2016
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153por Shu, Le, Zhao, Yuqi, Kurt, Zeyneb, Byars, Sean Geoffrey, Tukiainen, Taru, Kettunen, Johannes, Orozco, Luz D., Pellegrini, Matteo, Lusis, Aldons J., Ripatti, Samuli, Zhang, Bin, Inouye, Michael, Mäkinen, Ville-Petteri, Yang, Xia“…CONCLUSION: Mergeomics is a flexible and robust computational pipeline for multidimensional data integration. It outperforms existing tools, and is easily applicable to datasets from different studies, species and omics data types for the study of complex traits. …”
Publicado 2016
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155“…Multi-omics data integration is one of the major challenges in the era of precision medicine. …”
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156por Williams, Eleanor, Moore, Josh, Li, Simon W, Rustici, Gabriella, Tarkowska, Aleksandra, Chessel, Anatole, Leo, Simone, Antal, Bálint, Ferguson, Richard K, Sarkans, Ugis, Brazma, Alvis, Carazo Salas, Rafael E, Swedlow, Jason REnlace del recurso
Publicado 2017
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157por Li, Qingjiao, Tjong, Harianto, Li, Xiao, Gong, Ke, Zhou, Xianghong Jasmine, Chiolo, Irene, Alber, Frank“…Here, we present an approach for data integration to determine a population of complete three-dimensional genome structures that are statistically consistent with data from both genome-wide chromosome conformation capture (Hi-C) and lamina-DamID experiments. …”
Publicado 2017
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158“…The proposed approach was applied to healthcare data integration in different health organizations and was evaluated according to two aspects: execution time measurement and correctness measurement.…”
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159por Suchard, Marc A, Lemey, Philippe, Baele, Guy, Ayres, Daniel L, Drummond, Alexei J, Rambaut, AndrewEnlace del recurso
Publicado 2018
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