CNV {combinIT}R Documentation

Copy number variation (CNV).

Description

This data set are about copy number variation (CNV) between normal and tumor tissue samples among six dogs. In this data set, the value of CNV was measured as a signal intensity obtained from a comparative genomic hybridization (CGH) array, with higher signals corresponding to higher copy numbers; see Franck et al. (2013) and Franck and Osborne (2016). The data set was selected from 5899 sets (the full data have been made available as the supplementary material of the paper published by Franck et al. (2013)). The test of interaction between the dogs and tisuues is of interest.

Format

A matrix with six rows (Dogs) and two columns (Tissues):

Row1

Dog1

Row2

Dog2

Row3

Dog3

Row4

Dog4

Row5

Dog5

Row6

Dog6

Column1

Normal tissue

Column2

Tumor

References

  1. Franck, C., Nielsen, D., Osborne, J.A. (2013). A method for detecting hidden additivity in two-factor unreplicated experiments. Computational Statistics and Data Analysis 67:95-104.

  2. Franck, C., Osborne, J.A. (2016). Exploring Interaction Effects in Two-Factor Studies using the hidden Package in R. R Journal 8 (1):159-172.


[Package combinIT version 2.0.0 Index]