call_cna: Call CNA
In jmonlong/scCNAutils: Functions to analyze copy number aberrations in single-cell data
call_cna R Documentation
Call CNA
Description
Calls CNA using a HMM approach.
Usage
call_cna(z_df, trans_prob = 1e-04, nb_cores = 1, mc_info = NULL)
Arguments
z_df
the Z-scores, from zscore.
trans_prob
the transition probability for the HMM.
nb_cores
the number of processor to use.
mc_info
the information about the metacells, if relevant. Default is NULL.
Value
a data.frame with the CNA calls.
Author(s)
Jean Monlong
jmonlong/scCNAutils documentation built on May 3, 2022, 4:34 a.m.
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| call_cna | R Documentation |
Call CNA
Description
Calls CNA using a HMM approach.
Usage
call_cna(z_df, trans_prob = 1e-04, nb_cores = 1, mc_info = NULL)
Arguments
z_df |
the Z-scores, from |
trans_prob |
the transition probability for the HMM. |
nb_cores |
the number of processor to use. |
mc_info |
the information about the metacells, if relevant. Default is NULL. |
Value
a data.frame with the CNA calls.
Author(s)
Jean Monlong
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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