about
A comparative review of estimates of the proportion unchanged genes and the false discovery rate.Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray dataWebArray: an online platform for microarray data analysis.The Pex1-G844D mouse: a model for mild human Zellweger spectrum disorder.Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures.The Beta-Binomial Distribution for Estimating the Number of False Rejections in Microarray Gene Expression Studies.Literature aided determination of data quality and statistical significance threshold for gene expression studies.A practical false discovery rate approach to identifying patterns of differential expression in microarray data.Using weighted permutation scores to detect differential gene expression with microarray data.Illustrations on Using the Distribution of a P-value in High Dimensional Data Analyses.Ranking analysis of microarray data: a powerful method for identifying differentially expressed genesShrunken p-values for assessing differential expression with applications to genomic data analysis.Detecting differential expression in microarray data: comparison of optimal procedures.Evaluating statistical methods using plasmode data sets in the age of massive public databases: an illustration using false discovery rates.Robust estimation of the false discovery rate.Systematic analysis of head-to-head gene organization: evolutionary conservation and potential biological relevance.Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data.False discovery rate paradigms for statistical analyses of microarray gene expression data.Laser capture sampling and analytical issues in proteomics.Microproteomics: analysis of protein diversity in small samplesEffect of synthetic dietary triglycerides: a novel research paradigm for nutrigenomics.Gene-based bin analysis of genome-wide association studies.Comments on the analysis of unbalanced microarray data.Statistical contributions to proteomic research.A censored beta mixture model for the estimation of the proportion of non-differentially expressed genes.Parallel multiplicity and error discovery rate (EDR) in microarray experiments.Global gene expression changes induced by prolonged cold ischemic stress and preservation method of breast cancer tissue.Optimal alpha reduces error rates in gene expression studies: a meta-analysis approachTowards accurate estimation of the proportion of true null hypotheses in multiple testing.High throughput profiling of serum phosphoproteins/peptides using the SELDI-TOF-MS platformComparative gene expression analysis of blood and brain provides concurrent validation of SELENBP1 up-regulation in schizophreniaA gene selection method for GeneChip array data with small sample sizes.Improved estimation of the noncentrality parameter distribution from a large number of t-statistics, with applications to false discovery rate estimation in microarray data analysis.Sources of variation in false discovery rate estimation include sample size, correlation, and inherent differences between groupsBias and variance reduction in estimating the proportion of true-null hypothesesDNA mismatch repair network gene polymorphism as a susceptibility factor for pancreatic cancerDNA mismatch repair gene polymorphisms affect survival in pancreatic cancer.Estimating the proportion of true null hypotheses when the statistics are discrete.Bioinformatics approaches in clinical proteomics.Identification of candidate downstream targets of TGFβ signaling during palate development by genome-wide transcript profiling.
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh-hant
name
Improving false discovery rate estimation.
@en
Improving false discovery rate estimation.
@nl
type
label
Improving false discovery rate estimation.
@en
Improving false discovery rate estimation.
@nl
prefLabel
Improving false discovery rate estimation.
@en
Improving false discovery rate estimation.
@nl
P356
P1433
P1476
Improving false discovery rate estimation.
@en
P2093
Cheng Cheng
Stan Pounds
P304
P356
10.1093/BIOINFORMATICS/BTH160
P407
P577
2004-02-26T00:00:00Z