MeDuSA_VarExplain: MeDuSA_VarExplain: the function to estimate explained...
In LeonSong1995/MLM: Mixed model-based deconvolution of cell-state abundance
View source: R/MeDuSA_VarExplain.R
MeDuSA_VarExplain R Documentation
MeDuSA_VarExplain: the function to estimate explained variances of bulk RNA-seq data by the reference scRNA-seq data.
Description
MeDuSA_VarExplain: the function to estimate explained variances of bulk RNA-seq data by the reference scRNA-seq data.
Usage
MeDuSA_VarExplain(MeDuSA_obj, maxiter = 1000, ncpu = 4)
Arguments
MeDuSA_obj
The MeDuSA object.
maxiter
The iteration number of REML. Default by 1e+4.
ncpu
The number of cpu cores to be used.
Value
MeDuSA returns:
MeDuSA_Object@VarianceExplain$VarExplain: A numeric vector of the explained variances of bulk RNA-seq data by the reference scRNA-seq data.
MeDuSA_Object@VarianceExplain$Chi_VarExplain: A numeric vector of the corresponding squared-chi-value of the explained variances.
MeDuSA_Object@VarianceExplain$Pval_VarExplain: A numeric vector of the corresponding p-value of the explained variances.
LeonSong1995/MLM documentation built on March 13, 2024, 1:21 p.m.
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View source: R/MeDuSA_VarExplain.R
| MeDuSA_VarExplain | R Documentation |
MeDuSA_VarExplain: the function to estimate explained variances of bulk RNA-seq data by the reference scRNA-seq data.
Description
MeDuSA_VarExplain: the function to estimate explained variances of bulk RNA-seq data by the reference scRNA-seq data.
Usage
MeDuSA_VarExplain(MeDuSA_obj, maxiter = 1000, ncpu = 4)
Arguments
MeDuSA_obj |
The MeDuSA object. |
maxiter |
The iteration number of REML. Default by 1e+4. |
ncpu |
The number of cpu cores to be used. |
Value
MeDuSA returns:
MeDuSA_Object@VarianceExplain$VarExplain: A numeric vector of the explained variances of bulk RNA-seq data by the reference scRNA-seq data.MeDuSA_Object@VarianceExplain$Chi_VarExplain: A numeric vector of the corresponding squared-chi-value of the explained variances.MeDuSA_Object@VarianceExplain$Pval_VarExplain: A numeric vector of the corresponding p-value of the explained variances.
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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