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Imputing Missing Data for Gene Expression Arrays
Imputing Missing Data Gene Expression Arrays
2015/8/21
Here we describe three different methods for imputation.The first is based on a reduced rank SVD of the expression matrix, the second is based on K-nearest neighbor averaging, and the third is based o...
Efficient Quadratic Regularization for Expression Arrays
quadratic regularization euclidean methods SVD eigengenes
2015/8/21
Gene expression arrays typically have 50 to 100 samples and 1,000 to 20,000 variables (genes).There have been many attempts to adapt statistical models for regression and classification to these data,...
Bootstrapping data arrays of arbitrary order
Bayesian pigeonhole bootstrap online bagging online bootstrap
2015/8/21
In this paper we study a bootstrap strategy for estimating the variance of a mean taken over large multifactor crossed random e ects data
sets. We apply bootstrap reweighting independently to the lev...