Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15378
Title: beadarrayFilter: An R Package to Filter Beads
Authors: Forcheh, Anyiawung Chiara
VERBEKE, Geert 
Kasim, Adetayo
LIN, Dan 
SHKEDY, Ziv 
Talloen, Willem
Goehlmann, Hinrich W. H.
CLEMENT, Lieven 
Issue Date: 2013
Publisher: R FOUNDATION STATISTICAL COMPUTING
Source: R JOURNAL, 5 (1), p. 171-180
Abstract: Microarrays enable the expression levels of thousands of genes to be measured simultaneously. 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 preprocessing 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.
Notes: [Forcheh, Anyiawung Chiara; Verbeke, Geert; Clement, Lieven] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, B-3000 Louvain, Belgium. [Forcheh, Anyiawung Chiara; Verbeke, Geert; Clement, Lieven] Univ Hasselt, B-3590 Diepenbeek, Belgium. [Lin, Dan; Shkedy, Ziv] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Lin, Dan; Shkedy, Ziv] Katholieke Univ Leuven, B-3000 Louvain, Belgium. [Kasim, Adetayo] Univ Durham, Wolfson Res Inst, Thornaby TS17 6BH, Stockton On Tee, England. [Talloen, Willem; Goehlmann, Hinrich W. H.] Janssen Pharmaceut NV, Beerse, Belgium. forcheh@yahoo.com; Geert.Verbeke@med.kuleuven.be; a.s.kasim@durham.ac.uk; dan.lin2@pfizer.com; ziv.shkedy@uhasselt.be; wtalloen@its.jnj.com; hinrich@goehlmann.info; lieven.clement@med.kuleuven.be
Keywords: Computer Science, Interdisciplinary Applications; Statistics & Probability
Document URI: http://hdl.handle.net/1942/15378
ISSN: 2073-4859
e-ISSN: ****-****
ISI #: 000321944400017
Category: A1
Type: Journal Contribution
Validations: ecoom 2014
Appears in Collections:Research publications

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