sigmanoise_sampling: Fitting Residule Variance Sampling Function

In BICORN: Integrative Inference of De Novo Cis-Regulatory Modules

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

BICORN documentation built on May 2, 2019, 2:05 a.m.