Function 'A_sampling' estimates a regulation strength for each sampled binding event in C, according to a posterior Gaussian distribution.

1 2 | ```
A_sampling(Y, C, A_old, X, base_line, C_prior, sigma_noise, sigma_A,
sigma_baseline, sigma_X)
``` |

`Y` |
gene expression data matrix |

`C` |
sampled TF-gene binding network |

`A_old` |
regulatory strength sampled from the previous round, used as a prior in current function |

`X` |
sampled transcription factor activity matrix |

`base_line` |
sampled gene expression baseline activity |

`C_prior` |
prior TF-gene binding network |

`sigma_noise` |
variance of gene expression fitting residuals |

`sigma_A` |
variance of regulatory strength |

`sigma_baseline` |
variance of gene expression baseline activity |

`sigma_X` |
variance of transcription factor activity |

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