bnlearn_iambfdr

IAMB-FDR

Package	bnlearn
Version	4.8.3
Language	R
Docs	here
Paper	Peña[1]
Graph type	DAG
Docker	bpimages/bnlearn:4.8.3
Module folder	bnlearn_iambfdr

Description

Abstract: In many cases what matters is not whether a false discovery is made or not but the expected proportion of false discoveries among all the discoveries made, i.e. the so-called false discovery rate (FDR). We present an algorithm aiming at controlling the FDR of edges when learning Gaussian graphical models (GGMs). The algorithm is particularly suitable when dealing with more nodes than samples, e.g. when learning GGMs of gene networks from gene expression data. We illustrate this on the Rosetta compendium [8].

Example JSON

[
  {
    "id": "iambfdr-zf",
    "alpha": [
      0.01,
      0.05
    ],
    "test": "zf",
    "B": null,
    "maxsx": null,
    "debug": false,
    "undirected": false,
    "timeout": null
  },
  {
    "id": "iambfdr-mi",
    "alpha": [
      0.01,
      0.05
    ],
    "test": "mi",
    "B": null,
    "maxsx": null,
    "debug": false,
    "undirected": false,
    "timeout": null
  }
]