A Review of Feature Extraction Software for Microarray Gene Expression Data

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