63 search results - page 7 / 13 » Privacy-preserving imputation of missing data |
CSDA
2007
13 years 7 months ago
2007
Previous research has shown that method two-way with error for multiple imputation in test and questionnaire data produces small bias in statistical analyses. This method is based...
BMCBI
2007
13 years 7 months ago
2007
Background: DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples unde...
BMCBI
2008
13 years 7 months ago
2008
Background: Gene expression data frequently contain missing values, however, most downstream analyses for microarray experiments require complete data. In the literature many meth...
BMCBI
2006
13 years 7 months ago
2006
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
CSDA
2007
13 years 7 months ago
2007
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...