FDR-controlling testing procedures and sample size determination for microarrays.
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False discovery rates for rare variants from sequenced data.The level of residual dispersion variation and the power of differential expression tests for RNA-Seq dataA simple method for assessing sample sizes in microarray experiments.Laser capture sampling and analytical issues in proteomics.Microproteomics: analysis of protein diversity in small samplesA mixture model approach to sample size estimation in two-sample comparative microarray experimentsPower and sample size estimation in microarray studiesSample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithmsUsing DNA microarrays to assay part functionWhy is there a lack of consensus on molecular subgroups of glioblastoma? Understanding the nature of biological and statistical variability in glioblastoma expression data.Genotype x adiposity interaction linkage analyses reveal a locus on chromosome 1 for lipoprotein-associated phospholipase A2, a marker of inflammation and oxidative stressImproving the quality of biomarker discovery research: the right samples and enough of themBioinformatics approaches in clinical proteomics.Array-based methods for diagnosis and prevention of transplant rejection.Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer researchFetal MEG evoked response latency from beamformer with random field theoryA parametric model to estimate the proportion from true null using a distribution for p-values.Prediction of the number of activated genes in multiple independent Cd(+2)- and As(+3)-induced malignant transformations of human urothelial cells (UROtsa).Practical guidelines for assessing power and false discovery rate for a fixed sample size in microarray experimentsA permutation two one-sided tests procedure to detect minimal fold changes of gene expression levels.Sample size calculation through the incorporation of heteroscedasticity and dependence for a penalized t-statistic in microarray experiments.Sample size calculations based on ranking and selection in microarray experiments.Sample sizes for a robust ranking and selection of genes in microarray experiments.A note on controlling the number of false positives.Sample Size Calculation for Controlling False Discovery Proportion
P2860
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P2860
FDR-controlling testing procedures and sample size determination for microarrays.
description
2005 nî lūn-bûn
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2005年の論文
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2005年学术文章
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2005年学术文章
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2005年学术文章
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2005年学术文章
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2005年学术文章
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2005年學術文章
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name
FDR-controlling testing procedures and sample size determination for microarrays.
@en
FDR-controlling testing procedures and sample size determination for microarrays.
@nl
type
label
FDR-controlling testing procedures and sample size determination for microarrays.
@en
FDR-controlling testing procedures and sample size determination for microarrays.
@nl
prefLabel
FDR-controlling testing procedures and sample size determination for microarrays.
@en
FDR-controlling testing procedures and sample size determination for microarrays.
@nl
P2093
P356
P1476
FDR-controlling testing procedures and sample size determination for microarrays
@en
P2093
Jeannette Bigler
Shuying S Li
Ziding Feng
P304
P356
10.1002/SIM.2119
P407
P577
2005-08-01T00:00:00Z