CandidateBacon-package: CandidateBacon

In CandidateBacon: Provides a measure of the average connectedness among as set of candidate genes and a network-specific distribution of the connectedness of random gene pairs for an arbitrary network of pair wise interactions.

Description

Description: Selection of candidate genes is an important step in the exploration of complex genetic architecture. However, it can cause misleading results if not validated properly. The CandidateBacon package is a simple tool that provides such validation and ensures that proposed interaction networks are not statistical artifacts.

Details

Package:	CandidateBacon
Type:	Package
Version:	1.0
Date:	2013-10-29
License:	GPL

Author(s)

R.M. Nelson & M.E. Pettersson

Maintainer: Ronald Nelson <[e-mail]>

References

Nelson R.M. & Pettersson M.E. Degrees of Separation as a statistical tool for finding candidate genes. Submitted

Examples

## Not run: 
#CandidateBacon example

network <- import_network("example_network_Cyt.txt")

path_k_to_e <- find_path(network, "k", "e")

draw_network(network, path_k_to_e)

candidate_gene_matrix <- as.data.frame(matrix(data = c("a", "c", "c", "d", "e", "h", "j", "f", "k", "i", "x", "i"), 
	ncol = 2, byrow = T), stringsAsFactors = F)

multi_gene_separation <- multi_gene_paths(network, candidate_gene_matrix)

DOS <- degree_of_separation(network, repeats = 100)

## End(Not run)

CandidateBacon documentation built on May 2, 2019, 6:11 p.m.