PAA imports single color (protein) microarray data that has been saved in gpr file format - esp. ProtoArray data. After preprocessing (background correction, batch filtering, normalization) univariate feature preselection is performed (e.g., using the "minimum M statistic" approach - hereinafter referred to as "mMs"). Subsequently, a multivariate feature selection is conducted to discover biomarker candidates. Therefore, either a frequency-based backwards elimination aproach or ensemble feature selection can be used. PAA provides a complete toolbox of analysis tools including several different plots for results examination and evaluation.
|Author||Michael Turewicz [aut, cre], Martin Eisenacher [ctb, cre]|
|Bioconductor views||Classification Microarray OneChannel Proteomics|
|Maintainer||Michael Turewicz <[email protected]>, Martin Eisenacher <[email protected]>|
|License||BSD_3_clause + file LICENSE|
|Package repository||View on GitHub|
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