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Missing value imputation improves clustering and interpretation of gene expression microarray data.
Johannes Tuikkala
Laura Elo
Olli Nevalainen
Tero Aittokallio
Published in:
BMC Bioinform. (2008)
Keyphrases
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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