getGraphRank: Random walk kernel matrix smoothing t-statistic

In netClass: netClass: An R Package for Network-Based Biomarker Discovery

Description

Using Random walk kernel matrix of network to smooth t-statistic of each gene

Usage

getGraphRank(x = x, y = y, Gsub = Gsub, sca = TRUE)

Arguments

x	a matrix of expression measurements with p samples and n genes.
y	a factor of length p comprising the class labels.
Gsub	Random Walk Kernel matrix of network
sca	Sacling data or not

Value

r	return a smoothed t-statistic of each gene'

Author(s)

Yupeng Cun [e-mail]

References

Yupeng Cun, Holger Frohlich (2013) Network and Data Integration for Biomarker Signature Disvovery via Network Smoothed T-Statistics

See Also

See Also as getGraphRank

Examples

#See also \code{classfy.stsvm}

netClass documentation built on May 29, 2017, 7:18 p.m.