plotIsomeans: Plot of the observed gene expression and the isotonic means...
In ORCME: Order Restricted Clustering for Microarray Experiments

Description Usage Arguments Value Author(s) References See Also Examples

The function is plotting the observed data points of the gene expression and isotonic means with respect to dose for one particular gene.

1	plotIsomeans(monoData, obsData, doseData, geneIndex)

`monoData`	isotonic means with respect to dose for all genes
`obsData`	observed gene expression for all genes
`doseData`	indicates the dose levels
`geneIndex`	index of the gene to be plotted

Plot of the data points and the isotonic means for each dose with the isotonic regression curve.

Adetayo Kasim, Martin Otava and Tobias Verbeke

Lin D., Shkedy Z., Yekutieli D., Amaratunga D., and Bijnens, L. (editors). (2012) Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R. Springer.

Cheng, Y. and Church, G. M. (2000). Biclustering of expression data. In: Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 1, 93-103.

ORCME, monotoneDirection

  data(doseData)
  data(geneData)

  dirData <- monotoneDirection(geneData = geneData,doseData = doseData)
  incData <- as.data.frame(dirData$incData)
  obsIncData <- as.data.frame(dirData$obsincData)
  
  ## gene-specific profile plot
  plotIsomeans(monoData=incData,obsData=obsIncData,doseData=
  doseData,geneIndex=10)