Description Usage Arguments Details Value Author(s) See Also Examples
hyperrectangle_deviation_assessment
function
calculates the
hyperrectangle deviation
assessment (HDA) that calculates the
deviation components using
normal_hda2
which calculates
the normal component of the test
sample and deviation_hda2
which calculates the deviation component.
1 2 3 | hyperrectangle_deviation_assessment(x,
k = dim(x$Normal.mat)[2], dataname,
normalname,Org.directory = getwd())
|
x |
output object given back
by |
k |
A factor if not all the lines in the control group should be kept |
dataname |
the name of the project |
normalname |
A name for the corrected control files |
Org.directory |
where the outputs should be saved |
The function performs the hyperrectangle deviation assessment (HDA)
Outputs
Tdis.pcl |
The matrix of the deviation components for each test sample |
Tnorm.pcl |
The matrix of the normal components for each test sample |
NormalModel.pcl |
The normal model used |
Values
Dc.Dmat |
the deviation component matrix composed of the deviation components of all the samples in the test group |
m |
the values of the filter function per sample in the test group |
Rachel Jeitziner
control_adjustment
,
hyperrectangle_deviation_assessment
,
ttmap_sgn_genes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ##a full example can be found in ttmap_sgn_genes
##--
library(airway)
data(airway)
airway <- airway[rowSums(assay(airway))>80,]
assay(airway) <- log(assay(airway)+1,2)
ALPHA <- 1
the_experiment <- TTMap::make_matrices(airway,
seq_len(4), seq_len(4) + 4,
rownames(airway), rownames(airway))
TTMAP_part1prime <-TTMap::control_adjustment(
normal.pcl = the_experiment$CTRL,
tumor.pcl = the_experiment$TEST,
normalname = "The_healthy_controls",
dataname = "Effect_of_cancer",
org.directory = tempdir(), e = 0, P = 1.1, B = 0);
Kprime <- 4;
TTMAP_part1_hda <-
TTMap::hyperrectangle_deviation_assessment(x =
TTMAP_part1prime,
k = Kprime, dataname = "Effect_of_cancer",
normalname = "The_healthy_controls");
|
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