NIPTeR (version 1.0.2)

gc_correct: Perform a GC bias correction on nipt sample

Description

LOESS based GC bias correction algorithm described by Chen et al (2011)

Usage

gc_correct(nipt_object, method = "LOESS", include_XY = F, span = 0.75, ref_genome = "hg37")

Arguments

nipt_object

The object that will be corrected. This can either be a `NIPTSample` or a `NIPTControlGroup` object

method

To select the LOESS based method use "LOESS", to select the bin weights based method use "bin".

include_XY

Also apply correction to X and Y chromosomes?

span

The span for the LOESS fit. Only applicable when LOESS method is used.

ref_genome

The reference genome used. Either "hg37" or "hg38" default = "hg37"

Value

Depending on the input object either a NIPTSample or a NIPTControlGroup object

Details

GC content bias is the correlation between the number of reads mapped to a specific genomic region and the GC content of this region. In NIPTeR, two GC bias correction algorithms have been implemented, the LOESS based method introduced by Chen et al. (2011) and the bin weight based method described by Fan and Quake (2010).

Examples

## Not run: 
# ##Correct NIPTSample object using LOESS method
# loess_corrected_sample <- gc_correct(nipt_object = sample_of_interest, method = "LOESS",
#                                      include_XY = F, span = 0.75)
# ##Correct NIPTControlGroup object using bin method
# gc_bin_corrected_control_group <- gc_correct(nipt_object = control_group, method = "bin", 
#                                              include_XY = T)
# ## End(Not run)