Imputation of Missing Gene Expressions from Microarray Dataset: A Review
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Chanda Panse(Wajgi), Manali Kshirsagar, Dipak Wajgi|
|DOI : 10.14445/22312803/IJCTT-V46P104|
Chanda Panse(Wajgi), Manali Kshirsagar, Dipak Wajgi "Imputation of Missing Gene Expressions from Microarray Dataset: A Review". International Journal of Computer Trends and Technology (IJCTT) V46(1):15-22, April 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
DNA microarray technology captures gene expressions of thousands of genes simultaneously. But while recording these gene expressions through software after scanning, missing values get generated in the database due to various artifacts. It could be due to variety of reasons including hybridization failures, artefacts on the microarray, insufficient resolution, noisy image or corrupted image. It may also occur systematically as a result of the spotting process. This hinders performance of downstream analysis. There are certain solutions proposed in the literature to deal with this problem but due to their limitations imputation of missing values is preferred as the best solutions. This paper presented a review of existing methods used for imputation of missing values along with their advantages and limitations.
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