ContTran: A data continuized transformation

In equSA: Learning High-Dimensional Graphical Models

Description

Transform count data into continuous data.

Usage

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

Arguments

iData	a nxp 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.

Details

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

Value

continuz

nxp matrix of continuized data.

Author(s)

Bochao [e-mail], Suwa Xu and Faming Liang

References

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

Examples

      
      
           library(equSA)
           data(count)
           ContTran(count,total_iteration=1000)
      

equSA documentation built on May 6, 2019, 1:06 a.m.