MURP | R Documentation |
This new method is optimized from the MURP algorithm, it's more efficient. Loglike: Prior probability estimated by likelyhood function; MURP: Bayesian Information Criterions value; Recommended_K: Recommended K value.
MURP( Data, omega = 1/6, iter = 20, cores = 1, seed = 723, fast = FALSE, cluster_iter_max = 1000 )
Data |
expression matrix with Cells * Genes |
omega |
omega value in pseudo-BIC calculating |
iter |
the number of iterations |
cores |
the number of cores to use in multi-threads calculating, default is 1. Multi-threaded calculation is not recommended except for users with server support |
seed |
random seed, default is 723 |
fast |
speed up calculations |
cluster_iter_max |
kmeans iterations |
type |
data type, "expr" or "pca" |
a list include recommend_K, object of clustering result and so on
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