Microarrays enable the expression levels of thousands of genes to be measured simultane ously. However, only a small fraction of these genes are expected to be expressed under different experimental conditions. Nowadays, filtering has been introduced as a step in the microarray pre processing pipeline. Gene filtering aims at reducing the dimensionality of data by filtering redundant features prior to the actual statistical analysis. Previous filtering methods focus on the Affymetrix platform and can not be easily ported to the Illumina platform. As such, we developed a filtering method for Illumina bead arrays. We developed an R package, beadarrayFilter, to implement the latter method. In this paper, the main functions in the package are highlighted and using many examples, we illustrate how beadarrayFilter can be used to filter bead arrays.
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For attribution, please cite this work as
Forcheh, et al., "beadarrayFilter: An R Package to Filter Beads", The R Journal, 2013
BibTeX citation
@article{RJ-2013-016,
author = {Forcheh, Anyiawung Chiara and Verbeke, Geert and Kasim, Adetayo and Lin, Dan and Shkedy, Ziv and Talloen, Willem and Göhlmann, Hinrich W.H. and Clement, Lieven},
title = {beadarrayFilter: An R Package to Filter Beads},
journal = {The R Journal},
year = {2013},
note = {https://doi.org/10.32614/RJ-2013-016},
doi = {10.32614/RJ-2013-016},
volume = {5},
issue = {1},
issn = {2073-4859},
pages = {171-180}
}