difconet.plot.gene.correlations: PLOTS THE CORRELATIONS OF A SPECIFIC GENE

In difconet: Differential Coexpressed Networks

Description

Draw scatter plots of the correlations of a specific gene.

Usage

difconet.plot.gene.correlations(dObj, gene, 
  stages=1:length(dObj$stages.data), type=c("density","scatter")[1], 
  main=rownames(dObj$stages.data[[1]])[gene], 
  legends=TRUE, plot=TRUE, ... )

Arguments

dObj	The difconet object.
gene	Numeric or character. The gene index/rowname whose correlations will be drawn.
stages	Numeric or character. The stages to be included. If type="scatter" and more than two stages, a call to pairs is used instead of plot.
type	Character. The type of plot density or scatter.
main	Character. The main title passed to plot.
legends	Logical. Specifies whether the legends are drawn when type="density".
plot	Logical. Specifies whether the plots are actually drawn (to get the correlations).
...	Further parameters passed to plot/pairs.

Details

Run the whole process of estimation differences in correlations for a given dataset. The estimations are done for all metric values, all cutoff values across all comparisons.

Value

The correlations of the gene across stages (invisible).

Author(s)

Elpidio Gonzalez and Victor Trevino [e-mail]

References

Gonzalez-Valbuena and Trevino 2017 Metrics to Estimate Differential Co-Expression Networks Journal Pending volume 00–10

See Also

difconet.run.

Examples

xdata <- matrix(rnorm(1000), ncol=100)
xpredictor <- sample(c("A","B","C","D"),100,replace=TRUE)
dObj <- difconet.run(xdata, xpredictor, metric = 4, num_perms = 10,              
  comparisons = list(c("A","D"), c("A","B"), c("B","D")),
  perm_mode = "columns")

#Top highest metric in first comparison but showing correlations in only 3 stages
difconet.plot.gene.correlations(dObj, order(dObj$combstats[[1]][,"M4.dist"], 
  decreasing=TRUE)[1], type="s", stages=1:3)
#Bottom lowest metric in second comparison showing all stages
difconet.plot.gene.correlations(dObj, order(dObj$combstats[[2]][,"M4.dist"], 
  decreasing=TRUE)[1], type="d")
#Another specific gene (3), showing densities of correlations
difconet.plot.gene.correlations(dObj, 3, type="d")

difconet documentation built on May 1, 2019, 9:25 p.m.