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The chapter proposes several data analysis and interpretation steps found prerequisite for most microarray experiments.
Intraclass correlation coefficients (ICCs) were used to examine several data analysis strategies.
Several data analysis algorithms exist for the analysis of gene expression data resulting from cDNA microarray experiments.
Our approach also deals with the scalability problem by developing a clustering method with several data analysis techniques.
The HDT has the advantage of being a transparent evaluation tool, supported by several data analysis tools such as the concept of antagonistic indicators.
The adaptation of the Galaxy framework to host flow analysis tools such as FLOCK12 and FlowSOM13 also addresses several data analysis challenges identified by ImmPort users in providing easier file upload, support for high-throughput analysis, and flexibility to integrate new tools (Fig. 4).
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This DSS incorporates several data envelopment analysis (DEA) modules that had been developed in Yeomans ([2004]) and threads these modules together using commonly available software (Albright [2010]; Seref et al. [2007]; Zhu [2003]).
Over the years, several multivariate data analysis techniques have been proposed to characterize time intensity curves.
The Parallel-META pipeline has been applied on several metagenomic data analysis projects for human-associated bacterial communities, such as oral disease-causing microbial community analysis [ 28].
The proposed approach, unlike several FLIM data analysis methods, is not limited by the number of constituent fluorescing species or their possibly complex decay dynamics.
Several multivariate data analysis approaches have been tested with the final goal of monitoring and distinguishing between effects caused by heavy metals and exposure time, and with the goal of identifying the genes most affected by the investigated pollutants.
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