MSData: Generate Artificial Metabolic Survival Data

In MetabolicSurv: A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature

Description

The Function generates metabolic profile and survival dataset of any number of patients and also their survival information.

Usage

MSData(nPatients = 100, nMet = 150, Prop = 0.5)

Arguments

nPatients	The number of patients
nMet	The number of metabolites
Prop	The proportion of patients having low risk

Details

The function generates the metabolic profile where small set of metabolites (30) are informative and rest of them are set as noisy metabolites. Also, the survival time and Censoring information are generated based on first right singular vectors of svd of the metabolic profile matrix. It also generates other prognostic factors such as Age, Stage and Gender which are slightly correlated with survival time.

Value

An object of class list is returned with the following items .

Censor	The censoring/event indicator
Survival	The Survival time
Met.names	The vector of metabolites name
Mdata	The metabolic profile matrix
Prognostic	A data frame with prognostic factors.

Author(s)

Olajumoke Evangelina Owokotomo, [e-mail]

Ziv Shkedy

See Also

coxph

Examples

#GENERATE SOME METABOLIC SURVIVAL DATA WITH PROGNOSTIC FACTORS

Data<-MSData(nPatients=100,nMet=150,Prop=0.5)

SurvTime<-Data$Survival
Censor<-Data$Censor
ProgFact<-Data$Prognostic
MetData<-Data$Mdata
Metnames<-Data$Met.names

MetabolicSurv documentation built on June 11, 2021, 9:06 a.m.