sigmanoise_sampling {BICORN} | R Documentation |
Fitting Residule Variance Sampling Function
Description
Function 'sigmanoise_sampling' estimates the variance of overal gene expression fitting residuals, according to an inverse-gamma distribution.
Usage
sigmanoise_sampling(Y, C, A, X, base_line, C_prior, sigma_A, sigma_baseline,
sigma_X, alpha, beta)
Arguments
Y |
gene expression data matrix |
C |
sampled TF-gene binding network |
A |
sampled regulatory strength matrix |
X |
sampled transcription factor activity matrix |
base_line |
sampled gene expression baseline activity |
C_prior |
prior TF-gene binding network |
sigma_A |
variance of regulatory strength |
sigma_baseline |
variance of gene expression baseline activity |
sigma_X |
variance of transcription factor activity |
alpha |
hyper-parameter for inverse-gamma distribution |
beta |
hyper-parameter for inverse-gamma distribution |
[Package BICORN version 0.1.0 Index]