murp_specific | R Documentation |
Calculate the pseu-BIC value under different K. Loglike: Prior probability estimated by likelyhood function; MURP: Bayesian Information Criterions value; Recommended_K: Recommended K value.
murp_specific( Data = NULL, cores = NULL, omega = NULL, K = NULL, seed = 723, cluster_iter_max = 1000 )
Data |
expression matrix with Cells * Genes |
cores |
the number of cores to use in multi-threads calculating, default is 1. I do not recommend using multi-threaded calculations on a local computer, but if you have server support, you can try. |
omega |
omega value in pseudo-BIC calculating |
K |
the number of specified clusters |
seed |
random seed, default is 723 |
cluster_iter_max |
kmeans iterations |
a list include recommend_K, object of clustering result and so on
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