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An Optimization Algorithm for Missing Value Imputation in Microarray Based on Integrated Information
Feng Liu, Yiding Zhang, Zeming Liu, Meng Gao
55 - 64
10.3233/FAIA190165
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 320: Fuzzy Systems and Data Mining V
Abstract

The technology of DNA microarray enables researchers to obtain thousands of gene expression data simultaneously, but for biological and technical reasons, inevitable missing values exist. We developed an optimization algorithm that preselects imputation candidates based on numerical features and biological meanings, combining statistical similarity, functional similarity and another similarity obtained through text mining. We applied the proposed algorithm and found that it improved the accuracy of some traditional imputation algorithms.

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