Evaluation of missing values imputation methods in cDNA microarrays based on classification accuracy

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Systematic review on missing data imputation techniques with machine learning algorithms for healthcare

AR Ismail, NZ Abidin, MK Maen - Journal of Robotics and Control …, 2022 - journal.umy.ac.id
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R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data

RK Bania, A Halder - Computer methods and programs in biomedicine, 2020 - Elsevier
Abstract Background and Objective Retrieving meaningful information from high
dimensional dataset is an important and challenging task. Normally, medical dataset suffers …
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Imputation of missing gene expressions for DNA microarray using particle swarm optimization

C Panse, M Kshirsagar, D Raje, D Wajgi - Proceedings of the Second …, 2016 - Springer
While capturing gene expressions using microarray technique missing values get generated
in the data set. These missing values create negative impact on downstream analysis of …
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The impact of missing values imputation methods in cDNA microarrays on downstream data analysis

VF Ghoneim, NH Solouma… - 2011 28th National Radio …, 2011 - ieeexplore.ieee.org
DNA microarray is a high throughput gene profiling technology employed in numerous
biological and medical studies. These studies require complete and accurate gene …
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