Ontology highlight
ABSTRACT:
SUBMITTER: Yu T
PROVIDER: S-EPMC3624752 | biostudies-literature | 2011 May-Jun
REPOSITORIES: biostudies-literature
IEEE/ACM transactions on computational biology and bioinformatics 20110501 3
Microarray gene expression data often contain missing values. Accurate estimation of the missing values is important for downstream data analyses that require complete data. Nonlinear relationships between gene expression levels have not been well-utilized in missing value imputation. We propose an imputation scheme based on nonlinear dependencies between genes. By simulations based on real microarray data, we show that incorporating nonlinear relationships could improve the accuracy of missing ...[more]