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A similar quality control for CpG loci eliminated those loci with median detection p-value >0.05 (n = 8, 0.5%).
Probes were dropped from future analyses if the median detection P-value was >0.01 across all samples, which left a total of 397,600 out of 485,577 probes that passed QC.
In the IMA package (Wang et al, 2012), probes with missing values, those residing on the X chromosome, and those with a median detection P-value >0.05 across samples can be filtered out; other packages allowing such filtering include (Davis et al, 2011; Touleimat and Tost, 2012).
LumiWCluster (Kuan et al, 2010) includes a function for model-based clustering of methylation data using a weighted likelihood approach wherein higher-quality samples (i.e., those with a low median detection P-value) have larger weights and thus greater influence on the estimation of the mixture parameters for cluster inference.
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We filtered probes with a median detection P value ≥ 0.01 in at least one sample.
A detection p-value was obtained for each probe set.
The detection p-value measures the probability of observing signal without specific probe-target hybridization.
Genedata's implementation of GC-RMA includes the generation of an Affymetrix detection P-value.
A/P call detection was performed based on detection P-value.
The detection p-value threshold was set at 0.01.
Data was filtered for missing probes, SNP-enriched probes, and low detection P-value probes (detection P-value > 0.05).
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