Description Usage Arguments Value Author(s) References Examples
View source: R/defineConsensus.R
Compare and cluster various classification systems applying the same method as in Guinney et al (see reference).
1 2 3 4 | consensus.MCL(annot.class, I.values = 3.2, outdir, resamp = 0.8,
n.iter = 1000, pval.cut = 0.001, seed = 42,
sim.method = c("Jaccard", "CohenKappa")[1], filter.ini = c("fisher",
"cohenkappa")[1], ck.cut = 0.2)
|
annot.class |
Dataframe of samples annotated according to the several classification systems to compare. |
I.values |
A vector of inflation factors values to use with MCL algorithm. The function running time linearly depends on the given number of values (about 3 minutes for each inflation factor value) |
outdir |
Path to the directory where to store plots and results. A new directory will be created if the supplied path does not exist. |
resamp |
Value between 0 and 1. Proportion of samples to use for MCL bootstrap iterations. Default is 0.8. |
n.iter |
Number of MCL bootstrap iterations for each inflation factor value. Default is 1000. |
pval.cut |
Cut-off for adjusted P-value to select significant network edges (Fisher test). Default is 0.001 |
seed |
an integer value. See set.seed |
sim.method |
a string representing the simulation method. One of "Jaccard" or "CohenKappa". |
filter.ini |
one of "fisher" or "cohenkappa", to be used for initial filtering. |
ck.cut |
a number between 0 and 1. |
A list with the same length of I.values numerical vector. Each element is a list containing the cluster assignments (cl), the co-classification matrix (consensusMat), a subtype stability measure (subtype.stab), the mean weighted average silhouette width (wsil.mean)
Aurelie Kamoun
1.Guinney, J. et al. The consensus molecular subtypes of colorectal cancer. Nat Med advance online publication, (2015).
1 2 3 4 5 6 7 8 9 | ## Not run:
#-- Using bladder cancer classes as example
library(BuildConsensus)
data(blca_class)
mcl_res <- consensus.MCL(blca_class, outdir = "MCL_res")
## End(Not run)
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