Missing value imputation improves clustering and interpretation of gene expression microarray data.
Johannes TuikkalaLaura EloOlli NevalainenTero AittokallioPublished in: BMC Bioinform. (2008)
Keyphrases
- missing values
- gene expression microarray data
- data imputation
- high dimensional data
- missing data
- clustering algorithm
- missing data imputation
- clustering method
- incomplete data
- k means
- data points
- nearest neighbor
- incomplete data sets
- multiple imputation
- data matrix
- feature values
- noisy data
- data clustering
- unsupervised learning
- dimensionality reduction
- high dimensionality
- cluster analysis
- missing information
- imputation methods
- data sets
- microarray data
- variable selection
- data analysis
- probabilistic model
- pattern recognition