Description Usage Arguments Value

Given a pathway analyzed by MultiOmicsModuleSurvivalTest it retrieve for each omic the most influent fetures.

1 2 | ```
guessInvolvement(pathway, moduleNumber, loadThr = 0.6, n = 3,
atleast = 1, min_prop_pca = 0.1, min_prop_events = 0.1)
``` |

`pathway` |
MultiOmicsModule from a pathway. |

`moduleNumber` |
the module number |

`loadThr` |
the leading threshold to select genes (PCA only) |

`n` |
the maximum number of genes to retrive (cluster and binary only) |

`atleast` |
the minimum number of features to select (PCA only) |

`min_prop_pca` |
the minimal proportion to compute the pca classes |

`min_prop_events` |
the minimal proportion to compute the event classes |

For each omic analyzed a list that is the summary for omic summarized using the setted method: pvalues are present only for cluster method.

`sigModule` |
the original data for significant features |

`discrete` |
the discrete version of the significant covariates converted (when needed) into the discrete version |

`subset` |
data.frame(row.names=names(topGenes), metClust=topGenes) |

`pvalues` |
Kruskal Wallis pvalues of the selected features |

`covsConsidered` |
the name of the considered omic |

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