| With the completion of large-scale gene sequencing work,researchers urgently need to explore the hidden password behind the biological gene sequence,so DNA microarray technology came into being.Microarray technology is a new molecular biology technology developed in recent years,and it has great significance in exploring the mysteries of human life,revealing the essence of various diseases,and utilizing the biological resources.Microarray technology can simultaneously detect a large number of genes,and then generate large-scale gene expression data.For researchers,their main research goals are to obtain valuable information from these large-scale data,find the biological laws behind these information,and use the information to unlock the root causes of human diseases.A lot of analysis methods for gene expression data often restrict that the data set cannot contain any missing value.However,because there are some objective defects in microarray technology,resulting that the generated gene expression data are often accompanied by a large number of missing values.So it is necessary to accurately estimate the missing values existing in the original gene expression data,which will definitely decide the results of the downstream analysis.So the study on missing value estimation method is of great scientific and pratical significance.The main work of this paper is as follow:(1)A new kind of missing value estimation method for microarray data was proposed.;(2)We selected several state-of-the-art missing value estimation methods as the referenced methods,and we explained the concrete algorithms of them;(3)We selected several widely used microarray data sets for the experiments,and the most of datasets were used in academic papers about the referenced methods,so the experimental results have a high reference value;(4)We selected several evaluation criteria based on statistical and biological knowledge to evaluate the effectiveness of our proposed method and other referenced methods. |
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