Description Usage Arguments Value Examples
This function infers the master regulators for the transition between two phenotypes
1 2 3 4 5 6 7 8 9 10 11 12 13 | marina(x, ...)
## S4 method for signature 'matrix'
marina(x, y = NULL, mu = 0, regulon, per = 1000,
cores = 1, verbose = TRUE)
## S4 method for signature 'ExpressionSet'
marina(x, pheno = "cond", group1, group2 = NULL,
mu = 0, regulon, per = 1000, cores = 1, verbose = TRUE)
## S4 method for signature 'diggit'
marina(x, pheno, group1, group2 = NULL, mu = 0,
regulon = NULL, per = 1000, cores = 1, verbose = TRUE)
|
x |
Object of class diggit, expressionSet object or numerical matrix containing the test samples |
... |
Additional arguments |
y |
Numerical matrix containing the control samples |
mu |
Number indicating the control mean when |
regulon |
Transcriptional interactome |
per |
Interger indicating the number of permutations to compute the marina null model |
cores |
Integer indicating the number of cores to use (1 for Windows-based systems) |
verbose |
Logical, whether progress should be reported |
pheno |
Character string indicating the phenotype data to use |
group1 |
Vector of character strings indicating the category from phenotype |
group2 |
Vector of character strings indicating the category from phenotype |
Updated diggit object with Master Regulator results
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | cores <- 3*(Sys.info()[1] != "Windows")+1
data(gbm.expression, package="diggitdata")
data(gbm.aracne, package="diggitdata")
eset <- exprs(gbmExprs)
samples <- pData(gbmExprs)[["subtype"]]
x <- eset[, samples=="MES"]
y <- eset[, samples=="PN"]
dgo <- marina(x, y, regulon=gbmTFregulon, per=100, cores=cores)
dgo
diggitMR(dgo)[1:5]
dgo <- marina(gbmExprs, pheno="subtype", group1="MES", group2="PN", regulon=gbmTFregulon, per=100, cores=cores)
dgo
diggitMR(dgo)[1:5]
x <- diggitClass(expset=gbmExprs, regulon=gbmTFregulon)
dgo <- marina(x, pheno="subtype", group1="MES", group2="PN", per=100, cores=cores)
dgo
diggitMR(dgo)[1:5]
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