Description Usage Arguments Value Author(s) References See Also Examples

This function performs posterior inference on the association matrix, returning the matrix of posterior probabilities of inclusion for each association gene expression - CGH. It also returns the binary matrix of significant links that exceed a threshold given as argument.

1 | ```
InferenceR(listR, G, M, niter, burnin, threshold = 0.5)
``` |

`listR` |
First niter objects of the output of the main function |

`G` |
Number of gene expression probes |

`M` |
Number of aCGH probes |

`niter` |
Number of Monte Carlo Markov Chains iterations |

`burnin` |
Burn-in |

`threshold` |
Threshold on the posterior probability of inclusion |

A list made of the following items

`FreqMat ` |
Matrix of posterior probabilities of inclusion |

`final ` |
Binary association matrix |

Alberto Cassese

Cassese A, Guindani M, Tadesse M, Falciani F, Vannucci M. A hierarchical Bayesian model for inference of copy number variants and their association to gene expression. Annals of Applied Statistics, 8(1), 148-175.

Cassese A, Guindani M, Vannucci M. A Bayesian integrative model for genetical genomics with spatially informed variable selection. Cancer Informatics.

See Also as `Inference`

1 | ```
##See Inference
``` |

iBATCGH documentation built on May 30, 2017, 8:26 a.m.

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