Description Usage Arguments Value Author(s) Examples

View source: R/get_quantiles.R

Use random sampling to get a large number of subnetworks and then calculate the distribution of the ratio between the edge-score term and node-score term

1 | ```
get_quantiles(diff_expr, diff_coex, klist, pop_size)
``` |

`diff_expr` |
The vector storing the F-statistics measuring the differential expression of each gene |

`diff_coex` |
The matrix storing the ECF-statistics measuring the differential correlation of each gene pair |

`klist` |
A vector of the sizes (number of genes) of random subnetworks to be sampled |

`pop_size` |
The number of random subnetworks to be sampled |

A list containing two components:

`ratio` |
The five quantiles of the log-ratios between the edge-score term and node-score term |

`lambda` |
The five quantiles of lambdas calculated based on the ratios |

Haisu Ma

1 2 3 4 5 6 | ```
data(set1_scaled_diff)
klist<-c(20,25)
set1_quantile<-get_quantiles(diff_expr=set1_scaled_diff[[1]],
diff_coex=set1_scaled_diff[[2]],klist,pop_size=20)
``` |

COSINE documentation built on May 29, 2017, 1:40 p.m.

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