sigaR-package: statistics for integrative genomics analyses in R

In sigaR: Statistics for Integrative Genomics Analyses in R

Description

The package facilitates several types of integrative analysis of high-throughput data from various molecular levels. In addition, it includes functions for data management and visualization.

Details

Package:	sigaR
Type:	Package
Version:	1.0
Date:	2011-04-15
License:	What license is it under?
LazyLoad:	yes

Author(s)

Author: Wessel N. van Wieringen Maintainer: Wessel N. van Wieringen <[e-mail]>

References

Van Wieringen, W.N., Van de Wiel, M.A. (2009), "Non-parametric testing for DNA copy number induced differential mRNA gene expression", Biometrics, 65(1), 19-29.

Van Wieringen, W.N., Berkhof, J., Van de Wiel, M.A. (2010), "A random coefficients model for regional co-expression associated with DNA copy number", Statistical Applications in Genetics and Molecular Biology, Volume 9, Issue1, Article 25, 1-28.

Van Wieringen, W.N., Van der Vaart, A.W. (2011), "Statistical analysis of the cancer cell's molecular entropy using high-throughput data", Bioinformatics, 27(4), 556-563.

Van Wieringen, W.N., Unger, K., Leday, G.G.R., Krijgsman, O., De Menezes, R.X., Ylstra, B., Van de Wiel, M.A. (2012), "Matching of array CGH and gene expression microarray features for the purpose of integrative analysis", submitted for publication.

sigaR documentation built on April 28, 2020, 6:05 p.m.