A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data.
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An efficient weighted graph strategy to identify differentiation associated genes in embryonic stem cellsLiterature aided determination of data quality and statistical significance threshold for gene expression studies.Ranking analysis of F-statistics for microarray dataIdentification of estrogen-responsive genes in the parenchyma and fat pad of the bovine mammary gland by microarray analysis.A constrained polynomial regression procedure for estimating the local False Discovery Rate.A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performanceEstimating the false discovery rate using mixed normal distribution for identifying differentially expressed genes in microarray data analysis.Comments on the analysis of unbalanced microarray data.A Bayesian approach to efficient differential allocation for resampling-based significance testing.False discovery rate and permutation test: an evaluation in ERP data analysis.Incorporating prior knowledge to facilitate discoveries in a genome-wide association study on age-related macular degeneration.Statistical methods for integrating multiple types of high-throughput dataMolecular and anatomical signatures of sleep deprivation in the mouse brainAssessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.An Exponential-Gamma Convolution Model for Background Correction of Illumina BeadArray Data.Genomic regions identified by overlapping clusters of nominally-positive SNPs from genome-wide studies of alcohol and illegal substance dependenceEvaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes.Presenting the uncertainties of odds ratios using empirical-Bayes prediction intervals.Improving power of genome-wide association studies with weighted false discovery rate control and prioritized subset analysis.Inheritance patterns of transcript levels in F1 hybrid mice.Properties of balanced permutationsAnalytical methods in untargeted metabolomics: state of the art in 2015.Screening of feature genes in distinguishing different types of breast cancer using support vector machine.Signal propagation in protein interaction network during colorectal cancer progression.Genetic markers of comorbid depression and alcoholism in women.Evaluation of proteomic biomarkers associated with circulating microparticles as an effective means to stratify the risk of spontaneous preterm birth.A Fuzzy Permutation Method for False Discovery Rate ControlLarge-scale detection of ubiquitination substrates using cell extracts and protein microarraysA new test statistic based on shrunken sample variance for identifying differentially expressed genes in small microarray experiments.Long intergenic non-coding RNA expression signature in human breast cancer.Wnt antagonist gene polymorphisms and renal cancer.Genome-wide DNA methylation and transcriptome analyses reveal genes involved in immune responses of pig peripheral blood mononuclear cells to poly I:C.A permutation-based non-parametric analysis of CRISPR screen data.An efficient method to identify differentially expressed genes in microarray experiments.Robust gene selection methods using weighting schemes for microarray data analysisA comparison of two classes of methods for estimating false discovery rates in microarray studies.On correcting the overestimation of the permutation-based false discovery rate estimator.Estimating p-values in small microarray experiments.A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays.Epistemological issues in omics and high-dimensional biology: give the people what they want.
P2860
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P2860
A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի սեպտեմբերին 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
A note on using permutation-ba ...... s methods for microarray data.
@ast
A note on using permutation-ba ...... s methods for microarray data.
@en
type
label
A note on using permutation-ba ...... s methods for microarray data.
@ast
A note on using permutation-ba ...... s methods for microarray data.
@en
prefLabel
A note on using permutation-ba ...... s methods for microarray data.
@ast
A note on using permutation-ba ...... s methods for microarray data.
@en
P2093
P2860
P356
P1433
P1476
A note on using permutation-ba ...... s methods for microarray data.
@en
P2093
Arkady B Khodursky
P2860
P304
P356
10.1093/BIOINFORMATICS/BTI685
P407
P577
2005-09-27T00:00:00Z