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Proceedings of

International Conference on Advances in Computer Science and Electronics Engineering CSEE 2020

"MISSING VALUE ESTIMATION IN DNA MICROARRAY – A FUZZY APPROACH"

KASHINATH DEY SUJAY SAHA SUMIT CHAKRABORTY
DOI
10.15224/978-981-07-1403-1-214
Pages
34 - 39
Authors
3
ISBN
978-981-07-1403-1

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

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