SMIXnorm: Main function for the nested EM algorithm for SMIXnorm.
In S-YIN/FFPEnorm: FFPE RNA-Seq Normalization
Description
Usage
Arguments
Value
Description
This function takes the raw data as input and find the MLE of the mixture model.
Usage
1
SMIXnorm(dat, max_iter = 15, tol = 0.01, log_file)
Arguments
dat
input raw read count matrix. dim(dat)=J genes * I samples.
max_iter
maximum number of iterations for the nested EM algorithm default is 15, recommend range (10, 50).
tol
convergency criteria, default is 1e-2, recommend range (1e-5,1).
log_file
file name that records the log.
Value
A list conatins the MLE of all parameters.
S-YIN/FFPEnorm documentation built on Nov. 20, 2019, 7:05 a.m.
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Description Usage Arguments Value
Description
This function takes the raw data as input and find the MLE of the mixture model.
Usage
1 | SMIXnorm(dat, max_iter = 15, tol = 0.01, log_file)
|
Arguments
dat |
input raw read count matrix. dim(dat)=J genes * I samples. |
max_iter |
maximum number of iterations for the nested EM algorithm default is 15, recommend range (10, 50). |
tol |
convergency criteria, default is 1e-2, recommend range (1e-5,1). |
log_file |
file name that records the log. |
Value
A list conatins the MLE of all parameters.
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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