Related references
Note: Only part of the references are listed.Missing value imputation for microarray data: a comprehensive comparison study and a web tool
Chia-Chun Chiu et al.
BMC SYSTEMS BIOLOGY (2013)
On the choice of the best imputation methods for missing values considering three groups of classification methods
Julian Luengo et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2012)
Analysis of complexity indices for classification problems: Cancer gene expression data
Ana C. Lorena et al.
NEUROCOMPUTING (2012)
Biological impact of missing-value imputation on downstream analyses of gene expression profiles
Sunghee Oh et al.
BIOINFORMATICS (2011)
Missing value imputation for gene expression data: computational techniques to recover missing data from available information
Alan Wee-Chung Liew et al.
BRIEFINGS IN BIOINFORMATICS (2011)
Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments
Magalie Celton et al.
BMC GENOMICS (2010)
Dealing with missing values in large-scale studies: microarray data imputation and beyond
Tero Aittokallio
BRIEFINGS IN BIOINFORMATICS (2010)
Clustering cancer gene expression data: a comparative study
Marcilio C. P. de Souto et al.
BMC BIOINFORMATICS (2008)
Missing value imputation improves clustering and interpretation of gene expression microarray data
Johannes Tuikkala et al.
BMC BIOINFORMATICS (2008)
Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules
Dong Wang et al.
BIOINFORMATICS (2006)
Missing value estimation for DNA microarray gene expression data: local least squares imputation
H Kim et al.
BIOINFORMATICS (2005)
LSimpute: accurate estimation of missing values in microarray data with least squares methods
TH Bo et al.
NUCLEIC ACIDS RESEARCH (2004)
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
AG de Brevern et al.
BMC BIOINFORMATICS (2004)
A Bayesian missing value estimation method for gene expression profile data
S Oba et al.
BIOINFORMATICS (2003)
Comparison of discrimination methods for the classification of tumors using gene expression data
S Dudoit et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)
Missing value estimation methods for DNA microarrays
O Troyanskaya et al.
BIOINFORMATICS (2001)
Computational analysis of microarray data
J Quackenbush
NATURE REVIEWS GENETICS (2001)
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
AA Alizadeh et al.
NATURE (2000)
Share Paper
