View source: R/evalSignatureSurv.R
function from etv1 projects not totally sure when I wrote this I have no memory of it It seems to take the results from the glmnet modelling to perform a KM survival analysis on a set of expression values split by cluster don't really know what the gcl parameter is all abou yet
1 2 | evalCluster2(expData, survData, hm = F, gcl = F, gcts = 10,
cmeth = "ward.D2", titletxt = "")
|
expData |
is an expression matrix rows=genes cols=samples |
survData |
is a survival data frame with columns time and status |
hm |
generate heatmap boolean |
gcl |
if generating heatmap do or don't cluster the genes as well as the samples |
gcts |
the number of cuts to attempt of the cluster |
cmeth |
hierarchical clustering method (distance is correlation) |
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