equSA (version 1.2.1)

ContTran: A data continuized transformation

Description

Transform count data into continuous data.

Usage

ContTran(iData,total_iteration=5000,stepsize=0.05)

Arguments

iData

a \(n\)x\(p\) count data matrix.

total_iteration

total iteration number for Baysian random effect model-based transformation, default of 5000.

stepsize

The stepsize of updating parameters in transformation, default of 0.05.

Value

continuz

\(n\)x\(p\) matrix of continuized data.

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Details

This is the function that transform the count data into continuized data.

References

Jia, B., Xu, S., Xiao, G., Lamba, V., Liang, F. (2017) Inference of Genetic Networks from Next Generation Sequencing Data. Biometrics.

Examples

# NOT RUN {
      
# }
# NOT RUN {
      
# }
# NOT RUN {
           library(equSA)
           data(count)
           ContTran(count,total_iteration=1000)
      
# }