biclustFunc | R Documentation |
biclustFunc is a binary clustering function using hierarchical clustering.
biclustFunc(Qmat, admixRatioThs = 0.5, method = "average")
Qmat |
is a Q matrix that contains admixture ratios of all individuals where the |
admixRatioThs |
is a threshold to determine that if a cluster has |
method |
is a method parameter of |
This function returns binary clustering results.
heteroFlag |
is a flag that represents a status whether a given cluster is heterogeneous (having sub-clusters). It is TRUE if |
clusterInx |
is a vector of clustering assignment where |
meanDiffAdmixRatio |
is a vector of magnitude-difference of admixture ratios. It is calculated by splitting a given cluster into two sub-clusters. Then, we take the absolute on the difference between mean admixture ratios of sub-clusters. |
Qmat1 |
is a Q matrix of sub-cluster #1 after splitting a given cluster into two sub-clusters that contains admixture ratios of all individuals where the |
Qmat2 |
is a Q matrix of sub-cluster #2 after splitting a given cluster into two sub-clusters that contains admixture ratios of all individuals where the |
maxDiffAdmixRatio |
is a maximum of magnitude-difference of admixture ratios for a given cluster before splitting into two sub-clusters. |
# Running biclustFunc on Q matrix of 27 human population dataset where K = 12
obj<-biclustFunc(Qmat=ipADMIXTURE::human27pop_Qmat[[11]], admixRatioThs =0.15)
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