An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on NanoBioscience"
DOI: 10.1109/tnb.2016.2636243
Abstract: 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… read more here.
Keywords: estimation; missing value; lsimpute; value estimation ... See more keywords