Improving missing value imputation of microarray data by using spot quality weights

Background: Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools require complete data, but measurement values are often missing A way to overcome the problem of incomplete data is to impute the missing data before analysis. Many imputation methods have been suggested, some na

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Peter Johansson, Jari Häkkinen
• Keywords: BMCBI 2006, Gene Expression, Imputation Methods, Microarray Technology