DSNN method was observed to perform better compared to these other methods both at high as well as low observable data. 
THERM
In this paper, a novel but simple method, namely, DSNN (Doubly Sparse DCT domain with Nuclear Norm minimization) has been proposed for imputing missing values in microarray data.  Methods: A new method, namely, DSNN, was proposed for missing value imputation on gene expression data.  Results: Quantitative NMSE results of the DSNN method were compared with three state-of-the-art imputation methods.  DSNN method was observed to perform better compared to these other methods both at high as well as low observable data.  A novel method, namely, DSNN is proposed for missing value imputation. 
DSNN