An Optimization Algorithm for Missing Value Imputation in Microarray Based on Integrated Information

被引：0
|
作者：
Liu, Feng [1 ]
Zhang, Yiding [1 ]
Liu, Zeming [1 ]
Gao, Meng [1 ]
机构：
[1] Wuhan Univ, Comp Sch, Wuhan, Peoples R China
来源：
FUZZY SYSTEMS AND DATA MINING V (FSDM 2019) | 2019年 / 320卷
关键词：
Gene microarrays; Missing value imputation; Statistical similarity algorithm; Gene functional similarity;
D O I：
10.3233/FAIA190165
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：55 / 64
页数：10
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