DNA microarray data imputation and significance analysis of differential expression.
about
Differential network analysis with multiply imputed lipidomic dataData Imputation in Epistatic MAPs by Network-Guided Matrix CompletionA meta-data based method for DNA microarray imputation.Accounting for one-channel depletion improves missing value imputation in 2-dye microarray dataMissing value imputation improves clustering and interpretation of gene expression microarray data.Integrative missing value estimation for microarray data.Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes.Dealing with missing values in large-scale studies: microarray data imputation and beyond.Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.Impact of missing value imputation on classification for DNA microarray gene expression data--a model-based studyMissing value imputation for microarray data: a comprehensive comparison study and a web tool.The use of transcriptomics to unveil the role of nutrients in Mammalian liver.Missing value imputation for gene expression data: computational techniques to recover missing data from available information.Application of survival analysis methodology to the quantitative analysis of LC-MS proteomics data.Biological impact of missing-value imputation on downstream analyses of gene expression profiles.How to improve postgenomic knowledge discovery using imputationA hybrid imputation approach for microarray missing value estimationBig-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.An integrative imputation method based on multi-omics datasets.MVIAeval: a web tool for comprehensively evaluating the performance of a new missing value imputation algorithm.Bayesian mixture model analysis for detecting differentially expressed genes.A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation.OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical OutcomesIncorporating Nonlinear Relationships in Microarray Missing Value ImputationA study on the predictability of acute lymphoblastic leukaemia response to treatment using a hybrid oncosimulator.The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer.Iterated local least squares microarray missing value imputation.Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipelineMissing Value Estimation for Microarray Data by Bayesian Principal Component Analysis and Iterative Local Least Squares
P2860
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P2860
DNA microarray data imputation and significance analysis of differential expression.
description
2005 nî lūn-bûn
@nan
2005 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
DNA microarray data imputation and significance analysis of differential expression.
@ast
DNA microarray data imputation and significance analysis of differential expression.
@en
type
label
DNA microarray data imputation and significance analysis of differential expression.
@ast
DNA microarray data imputation and significance analysis of differential expression.
@en
prefLabel
DNA microarray data imputation and significance analysis of differential expression.
@ast
DNA microarray data imputation and significance analysis of differential expression.
@en
P2093
P2860
P356
P1433
P1476
DNA microarray data imputation and significance analysis of differential expression.
@en
P2093
Hui-Yu Wang
Ming Ouyang
Rebecka Jörnsten
William J Welsh
P2860
P304
P356
10.1093/BIOINFORMATICS/BTI638
P407
P577
2005-08-23T00:00:00Z