Given a chromosomal region, summarize the model parameters
from overlapping models. This heuristics gives a brief summary on
average sample and probe effects within the region and aids
interpretation. If multiple alteration profiles are detected within
the region, the models are grouped and summarization is applied
separately for each group containing overlapping models with high similarity.
Usage
summarize.region.parameters(region.genes, model, X, Y, grouping.th = 0.9, rm.na = TRUE)
Arguments
region.genes
A vector of gene names determining the investigated region.
model
Object of ChromosomeModels or GenomeModels class.
X
Data object. See help(screen.cgh.mrna). For instance, geneExp
from our example data set.
Y
Data object. See help(screen.cgh.mrna). For instance, geneCopyNum
from our example data set.
grouping.th
Similarity threshold for joining neighboring
models.
rm.na
Remove genes with NA values from the output.
Value
z
Mean sample effects, averaged over the overlapping models for
each sample.
W
Mean probe effects, averaged over the overlapping models for
each probe. This is a list with elements X, Y, corresponding to the
two data sets.
Details
Grouping of the models is based on heuristics where highly
correlating models (>grouping.th) are merged. Will be improved
later.