dri.impute {DRI}R Documentation

Impute missing values for gene expression data

Description

Missing gene expression measurements are imputed by the K-nearest neighbors method

Usage

dri.impute(d)

Arguments

d data matrix whose missing values will be imputed

Details

The K-nearest neighbors method is employed (K=10) to impute missing gene expression values. For any row with more than 50

Uses the impute.knn function of the impute package.

Value

data the new imputed data matrix

Author(s)

Keyan Salari, Robert Tibshirani, and Jonathan R. Pollack

References

Salari, K., Tibshirani, R., and Pollack, J.R. (2009) DR-Integrator: a new analytic tool for integrating DNA copy number and gene expression data. http://pollacklab.stanford.edu/

Olga Troyanskaya, Michael Cantor, Gavin Sherlock, Pat Brown, Trevor Hastie, Robert Tibshirani, David Botstein and Russ B. Altman, Missing value estimation methods for DNA microarrays BIOINFORMATICS Vol. 17 no. 6, 2001 Pages 520-525.

See Also

drcorrelate, drcorrelate.null, drsam, drsam.null, dri.fdrCutoff, dri.sig_genes, dri.heatmap, dri.merge.CNbyRNA, dri.smooth.cghdata, runFusedLasso

Examples

require(impute)
data(mySampleData)
attach(mySampleData)

# Impute missing values for gene expression data
RNA.data <- dri.impute(RNA.data)

[Package DRI version 1.1 Index]