masomenos: masomenos

In simulatorZ: Simulator for Collections of Independent Genomic Data Sets

Description

function for Mas-o-menos algorithm

Usage

masomenos(X, y, option = "fast", ...)

Arguments

X	matrix with rows corresponding to subjects and columns to features resp
y	response variable, a data.frame, matrix, or Surv object: c(time, event)
option	whether to use C or R code to fit the marginal Cox models
...

Value

return the coefficients

Author(s)

Yuqing Zhang, Christoph Bernau, Levi Waldron

References

Zhao, S., Huttenhower, G. P. C., and Waldron, L. (2013). Mas-o-menos:

a simple sign averaging method for discrimination in genomic data analysis.

http://biostats.bepress.com/harvardbiostat/paper158/. Accessed: 2013-10-24.

Examples

set.seed(8)


library(curatedOvarianData)


data( E.MTAB.386_eset )


eset <- E.MTAB.386_eset[1:100, 1:30]


rm(E.MTAB.386_eset)





X <- t(exprs(eset))





time <- eset$days_to_death


cens <- sample(0:1, 30, replace=TRUE)


y <- Surv(time, cens)





beta <- masomenos(X=X, y=y)


beta

simulatorZ documentation built on Nov. 8, 2020, 5 p.m.