Abstract: “DNA microarray technology which is used in molecular biology, allows for the observation of expression levels of thousands of genes under a variety of conditions. The analysis of microarray data has been successfully applied in a number of studies over a broad range of biological disciplines. Now it is very unfortunate that various microarray experiments generate data sets containing missing values. Since most of the algorithms for gene expression analysis require a complete gene array as input, the missing values need to estimate. The methods exist for estimating missing values are like KNNimpute, SVDimpute, LLSimpute, LLS-SVDimpute etc. In this paper we present a new fuzzy technique Fuzzy Difference Vector Impute (FDVimpute) for estimating missing values in a DNA microarray”

Keywords: DNA microarray, missing value, LLS- SVDImpute, FDVImpute, Spellman dataset