Function 'X_sampling' estimates the hidden activities of each transcription factor, according to a posterior Gaussian random process.

1 2 | ```
X_sampling(Y, C, A, X_old, base_line, C_prior, sigma_noise, sigma_A,
sigma_baseline, sigma_X)
``` |

`Y` |
gene expression data matrix |

`C` |
sampled TF-gene binding network |

`A` |
sampled regulatory strength matrix |

`X_old` |
sampled transcription factor activity matrix from the previous round |

`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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