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. 2014 Aug 31;2014:213656. doi: 10.1155/2014/213656

Table 3.

Related work.

Software Author Motivation Advantage
FactoMineR Lê et al. (2009) [5] (i) Providing a multivariate data analytic technique for applications in biological systems
(ii) To combine “Omics” data structured into groups
(iii) To help on their functional interpretations.
(i) It provides a geometrical point of view and a lot of graphical outputs
(ii) It can take into account a structure on the data
(iii) A GUI is available.

MADE4 Culhane et al. [11] To provide a simple-to-use tool for multivariate analysis of microarray data (i) Accepts a wide variety of gene-expression data input formats
(ii) No additional data processing is required

Statistic toolbox The MathWorks [15] High-dimensional and complex microarray data need automatic/computer aided tools for analysis Elegant matrix support; visualization

imDev Grapov and Newman, 2012 [14] Omics experiments generate complex high-dimensional data requiring multivariate analyses (i) User-friendly graphical interface
(ii) Visualizations can be exported directly from the R plotting interface in a variety of file formats
(iii) Dynamic loading of R objects between analyses sessions