Quantitative noise analysis for gene expression microarray experiments
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Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clusteringNoise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancerA power law global error model for the identification of differentially expressed genes in microarray dataCytoskeletal rearrangements in synovial fibroblasts as a novel pathophysiological determinant of modeled rheumatoid arthritis.Towards precise classification of cancers based on robust gene functional expression profilesA generally applicable validation scheme for the assessment of factors involved in reproducibility and quality of DNA-microarray dataComparative analysis of microarray normalization procedures: effects on reverse engineering gene networksA predictive model of the oxygen and heme regulatory network in yeastClustering of High Throughput Gene Expression DataReal-time DNA microarray analysis.Accounting for noise when clustering biological data.Spectral analysis on time-course expression data: detecting periodic genes using a real-valued iterative adaptive approach.Symbolic data analysis to defy low signal-to-noise ratio in microarray data for breast cancer prognosis.Empirical evaluation of consistency and accuracy of methods to detect differentially expressed genes based on microarray data.Identification and handling of artifactual gene expression profiles emerging in microarray hybridization experiments.Modeling of DNA microarray data by using physical properties of hybridization.Integration and cross-validation of high-throughput gene expression data: comparing heterogeneous data sets.A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.Computational strategies for analyzing data in gene expression microarray experiments.A new summarization method for Affymetrix probe level data.Simulation of microarray data with realistic characteristics.DTW-MIC Coexpression Networks from Time-Course Data.Reconstruction of metabolic networks from high-throughput metabolite profiling data: in silico analysis of red blood cell metabolism.Specificity of DNA microarray hybridization: characterization, effectors and approaches for data correction.A quantization method based on threshold optimization for microarray short time series.Whole-genome analysis of the SHORT-ROOT developmental pathway in ArabidopsisRank-statistics based enrichment-site prediction algorithm developed for chromatin immunoprecipitation on chip experiments.Significance analysis of microarray transcript levels in time series experiments.A new method for class prediction based on signed-rank algorithms applied to Affymetrix microarray experiments.A noise model for mass spectrometry based proteomics.Comparison of statistical data models for identifying differentially expressed genes using a generalized likelihood ratio test.Information processing in the transcriptional regulatory network of yeast: functional robustnessGlobal genetic response in a cancer cell: self-organized coherent expression dynamics.Intensity dependent estimation of noise in microarrays improves detection of differentially expressed genes.Validation and characterization of DNA microarray gene expression data distribution and associated moments.Statistical analysis of MPSS measurements: application to the study of LPS-activated macrophage gene expression.Motif-guided sparse decomposition of gene expression data for regulatory module identification.Natural selection on cis and trans regulation in yeastsWhy is there a lack of consensus on molecular subgroups of glioblastoma? Understanding the nature of biological and statistical variability in glioblastoma expression data.Computing gene expression data with a knowledge-based gene clustering approach.
P2860
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P2860
Quantitative noise analysis for gene expression microarray experiments
description
2002 nî lūn-bûn
@nan
2002 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Quantitative noise analysis for gene expression microarray experiments
@ast
Quantitative noise analysis for gene expression microarray experiments
@en
type
label
Quantitative noise analysis for gene expression microarray experiments
@ast
Quantitative noise analysis for gene expression microarray experiments
@en
prefLabel
Quantitative noise analysis for gene expression microarray experiments
@ast
Quantitative noise analysis for gene expression microarray experiments
@en
P2093
P2860
P356
P1476
Quantitative noise analysis for gene expression microarray experiments
@en
P2093
P2860
P304
14031-14036
P356
10.1073/PNAS.222164199
P407
P577
2002-10-18T00:00:00Z