multiple co-inertia analysis of omics datasets

Description

The main function in the package performing multiple co-inertia analysis on omics datasets

Details

Multiple co-inertia analysis (MCIA) is a multivariate analysis method that could be used to analyze multiple tables measuring the same set of individuals, this package provides a one-stop function for MCIA and functions for subsequent analysis especially for multiple omics datasets.

Author(s)

Chen Meng, Aedin Culhane, Amin M. Gholami

Maintainer: Chen Meng <mengchen18@gmail.com>

References

Meng C, Kuster B, Culhane AC and Gholami AM. A multivariate approach to the integration of multi-omics datasets. (Manuscript under preparation)

Culhane AC, Thioulouse J, Perriere G, Higgins DG. (2005) MADE4: an R package for multivariate analysis of gene expression data.Bioinformatics. 21(11):2789-90.

S. Dray and A.B. Dufour. (2007) The ade4 package: implementing the duality diagram for ecologists. Journal of Statistical Software 22(4):1-20.

See Also

ade4 and package made4

Examples

  data(NCI60_4arrays)
  mcoin <- mcia(NCI60_4arrays)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(omicade4)
Loading required package: ade4
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/omicade4/omicade4-package.Rd_%03d_medium.png", width=480, height=480)
> ### Name: omicade4-package
> ### Title: multiple co-inertia analysis of omics datasets
> ### Aliases: omicade4-package omicade4
> ### Keywords: multivariate
> 
> ### ** Examples
> 
>   data(NCI60_4arrays)
>   mcoin <- mcia(NCI60_4arrays)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>