View source: R/findModules.consensusCluster.R
findModules.consensusCluster | R Documentation |
A modiefed parallel version of code imported from https://github.com/Bioconductor-mirror/ConsensusClusterPlus 1.11.1
findModules.consensusCluster( d = NULL, maxK = 100, reps = 100, pItem = 0.8, pFeature = 1, clusterAlg = "kmeans", innerLinkage = "average", distance = "pearson", changeCDFArea = 0.001, nbreaks = 20, seed = 123456789.12345, weightsItem = NULL, weightsFeature = NULL, corUse = "everything", verbose = F )
d |
Optional. A matrix where columns=items/samples and rows are features. For example, a gene expression matrix of genes in rows and microarrays in columns. OR ExpressionSet object. (Default = NULL) |
maxK |
Optional. An integer value. maximum cluster number to evaluate. (Default = 100) |
reps |
Optional. An integer value. number of subsamples. (Default = 100) |
pItem |
Optional. A numerical value. proportion of items to sample. (Default = 0.8) |
pFeature |
Optional. A numerical value. proportion of features to sample. (Default = 1) |
clusterAlg |
Optional. A character value. cluster algorithm. "hc" heirarchical (hclust) or "km" for kmeans. (Default = "kmeans") |
innerLinkage |
Optional. A heirarchical linkage method for subsampling. (Default = "average") |
distance |
Optional. A character value. sample distance measures: "pearson","spearman", or "euclidean". (Default = "pearson") |
changeCDFArea |
Optional. Minimum spline distance for seq(2,'maxK', length.out = 'nbreaks') (Default = 0.001) |
nbreaks |
Optional. Number of breaks to use in seq(2,'maxK',length.out = 'nbreaks') this becomes the kGrid argument in run.consensus.cluster. (Default = 20) |
seed |
Optional, A numerical value. Sets random seed for reproducible results. (Default = 123456789.12345) |
weightsItem |
Optional. A numerical vector. weights to be used for sampling items. (Default = NULL) |
weightsFeature |
Optional. AN umerical vector. weights to be used for sampling features. (Default = NULL) |
corUse |
Optional. Use all cores avaiable. (Default = "Everything") |
verbose |
Optional. A boolean when set to TRUE, prints messages to the screen to indicate progress. This is useful for large datasets.(Default = FALSE) |
Final clustered modules.
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