diagnosticPlot: Create diagnostic plot for understanding the Roleswitch model...

In Roleswitch: Infer miRNA-mRNA interactions using paired expression data from a single sample

Description

Create diagnostic plot for understanding the roleswitch outputs. Create a 2 by 4 panels of plots. From left to right, the top panel displays the observed N mRNA and M miRNA expression (x.o and z.o), the N by M seed-match matrix (c), and the inferred total mRNA expression; the bottom panel displays the inferred probability of the M miRNAs targeting the N mRNA (miRNA-mRNA; p.x), the probability of the N mRNA "targeting" the M miRNAs (mRNA-miRNA; p.z), the dot product of the above two matrices (Joint) and the convergence rate (delta.p.all).

Usage

diagnosticPlot(pred)

Arguments

pred	Results obtained from roleswitch.

Author(s)

Yue Li

References

Li, Y., ..., Zhang, Z., Inference of personalized miRNA-mRNA interactions toward redefining cancer signatures (in preparation).

See Also

roleswitch

Examples

x.o <- matrix(abs(rnorm(10, mean=3)), 
  dimnames=list(c(1:10),"mRNA")) # mRNA expression
  
z.o <- matrix(abs(rnorm(4, mean=3)),
  dimnames=list(c(1:4),"miRNA"))  # miRNA expression
  
c <- matrix(rpois(40, lambda=3),nrow=nrow(x.o), 
  dimnames=list(c(1:10),c(1:4))) # seed match matrix

rs.pred <- roleswitch(x.o, z.o, c)

diagnosticPlot(rs.pred)

Roleswitch documentation built on April 28, 2020, 8:29 p.m.