dri.impute {DRI} | R Documentation |
Missing gene expression measurements are imputed by the K-nearest neighbors method
dri.impute(d)
d |
data matrix whose missing values will be imputed |
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.
data |
the new imputed data matrix |
Keyan Salari, Robert Tibshirani, and Jonathan R. Pollack
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.
drcorrelate
, drcorrelate.null
, drsam
,
drsam.null
, dri.fdrCutoff
, dri.sig_genes
,
dri.heatmap
, dri.merge.CNbyRNA
, dri.smooth.cghdata
,
runFusedLasso
require(impute) data(mySampleData) attach(mySampleData) # Impute missing values for gene expression data RNA.data <- dri.impute(RNA.data)