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 |