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Updated: Mar 26, 2026

Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions
Published on: January 7, 2019
PAA: an R/bioconductor package for biomarker discovery with protein microarrays
Michael Turewicz1, Maike Ahrens1, Caroline May1
1Medizinisches Proteom-Center, Ruhr-University Bochum, Bochum, 44801, Germany.
Unlabelled:
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/ CONTACT: michael.turewicz@rub.de or martin.eisenacher@rub.de.
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