call_cna_multisamps: Call CNA
In jmonlong/scCNAutils: Functions to analyze copy number aberrations in single-cell data
View source: R/call_cna_multisamps.R
call_cna_multisamps R Documentation
Call CNA
Description
Calls CNA using a HMM approach considering multiple samples at
the same time.
Usage
call_cna_multisamps(z_df, mc_info, trans_prob = 1e-04, nb_cores = 1)
Arguments
z_df
the Z-scores, from zscore.
mc_info
the information about the metacells, if relevant. Default is NULL.
trans_prob
the transition probability for the HMM.
nb_cores
the number of processor to use.
Value
a data.frame with the CNA calls.
Author(s)
Jean Monlong
jmonlong/scCNAutils documentation built on Feb. 8, 2025, 8:09 a.m.
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View source: R/call_cna_multisamps.R
| call_cna_multisamps | R Documentation |
Call CNA
Description
Calls CNA using a HMM approach considering multiple samples at the same time.
Usage
call_cna_multisamps(z_df, mc_info, trans_prob = 1e-04, nb_cores = 1)
Arguments
z_df |
the Z-scores, from |
mc_info |
the information about the metacells, if relevant. Default is NULL. |
trans_prob |
the transition probability for the HMM. |
nb_cores |
the number of processor to use. |
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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