Description Usage Arguments Methods Author(s) See Also Examples
Provides the main functionality behing oligoMask. These functions/methods allow the user to apply variant masks to oligo classes such as GemeFeatureSet
.
1 2 3 |
object |
A valid object of class |
background |
Logical-perform RMA background correction? |
normalize |
Logical-perform quantile normalization? |
subset |
To be implemented |
target |
Type of summarization to be performed (e.g. 'core' or 'probeset') |
apply.mask |
Boolean indicating whether the variant mask should be applied |
mask.params |
An object of class |
mask.type |
Either 'before.rma' or 'before.summary' where 'before.rma' carries out the masking before the RMA processing occurs while 'before.summary' performs masking after the background correction and normalization but before the summarization step via median polish. |
signature(object = "GeneFeatureSet")
Return a ExpressionSet
object with the probes summarized at the level indicated by target
using the RMA method. Probes determined to be unreliable are removed prior to the RMA calculations.
Daniel Bottomly
1 2 3 4 5 | data(SunGeneFS)
temp.vcf.db <- new("VcfDB", db.path=om.db.file(), tbsl=SangerTableSchemaList())
var.mask.pars <- new("VariantMaskParams", var.db=temp.vcf.db)
masked.exprs <- maskRMA(SunGeneFS, apply.mask=TRUE, mask.params=var.mask.pars)
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