An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation

IEEE Transactions on NanoBioscience(2017)

引用 26|浏览18
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摘要
Microarray data often contain missing values which significantly affect subsequent analysis. Existing LLSimpute-based imputation methods for dealing with missing data have been shown to be generally efficient. However, all of the LLSimpute-based methods do not consider the different importance of different neighbors of the target gene in the missing value estimation process and treat all the neigh...
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关键词
Regression analysis,Nanobioscience,Algorithm design and analysis,Estimation error,Electronic mail,Correlation
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