9 search results - page 1 / 2 » K-Ranked Covariance Based Missing Values Estimation for Micr... |
HIS
2004
13 years 6 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
BMCBI
2007
13 years 4 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
BMCBI
2006
13 years 4 months ago
2006
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
DAWAK
2009
Springer
13 years 11 months ago
2009
Springer
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...