Abstract
Summary: The R/Bioconductor package Protein Array Analyzer (PAA) facilitates a flexible analysis of protein microarrays for biomarker discovery (esp., ProtoArrays). It provides a complete data analysis workflow including preprocessing and quality control, uni- and multivariate feature selection as well as several different plots and results tables to outline and evaluate the analysis results. As a main feature, PAA's multivariate feature selection methods are based on recursive feature elimination (e.g. SVM-recursive feature elimination, SVM-RFE) with stability ensuring strategies such as ensemble feature selection. This enables PAA to detect stable and reliable biomarker candidate panels. Availability and implementation: PAA is freely available (BSD 3-clause license) from http://www.bioconductor.org/packages/PAA/.
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CITATION STYLE
Turewicz, M., Ahrens, M., May, C., Marcus, K., & Eisenacher, M. (2016). PAA: An R/bioconductor package for biomarker discovery with protein microarrays. Bioinformatics, 32(10), 1577–1579. https://doi.org/10.1093/bioinformatics/btw037
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