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Pre-processing of raw data

LL Leonela N. Luce
MA Mercedes Abbate
JC Javier Cotignola
FG Florencia Giliberto
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We downloaded the raw microarray data and we used the R-based software Bioconductor [9, 10] to perform the quality control and pre-processing of the data. We used the RMA (Robust Multi-array Average) algorithm [11] to correct for background, normalize and log2-transform the readings for each sample. We used a principal component analysis to determine whether there was a batch effect within the series analyzed.

Copyright and License information:  ©2017 Luce et al.
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