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In particular, our profile biomarker diagnosis can be generalized to other omics data for derivative component analysis (DCA)'s nature of generic data analysis.
In contrast, we proposed that the generic data analysis systems such as SQL, BLAST, and a generic statistical analysis system (SAS) may be used to organize and analyze proteomic data, using this broadly available and well tested software [ 10, 12, 20, 23, 29, 48].
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CellMissy is a novel, cross-platform, generic data management and analysis system for cell migration experiments.
Expression data were analyzed using Epclust, a generic data clustering, visualization and analysis tool [ 21].
Beyond cancer data analysis many generic computational models of data integration have been proposed.
The attempt here is to see if one can build on top of this limitation a virtual screening and biological data analysis platform with generic purpose.
In our bottom up approach, the Platform Integration, Thematic and Data Acquisition and Analysis layers output generic data, which can be tailored to specific smart cities related application needs in the top three layers.
LC-MS/MS data files were converted to MASCOT generic format (.mgf) using the XCTs data analysis software.
EUTelescope is based on the ILCSoft framework [20] which provides the basic building blocks for offline analysis such as a generic data model (Linear Collider I/O, LCIO), a geometry description language (GEAR) and the central event processor (Marlin) [21].
Based on the results of the form analysis we developed a generic data model which includes the 13 common attributes.
Pooling data analysis of total task, specific, and generic data was also presented as indication of group performance.
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