Storey, John D.

Statistical significance for genomewide studies

Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences

Statistical Methods in Clinical TrialsGenetic Associations and Epidemiology

Cited by 9,692

The <tt>sva</tt> package for removing batch effects and other unwanted variation in high-throughput experiments

Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics

Gene expression and cancer classificationSingle-cell and spatial transcriptomics

Cited by 6,231

A Direct Approach to False Discovery Rates

Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods in Clinical TrialsStatistical Methods and Inference

Cited by 5,603

Genomic responses in mouse models poorly mimic human inflammatory diseases

Seok, J., Warren, H. S., Cuenca, A. G., Mindrinos, M. N., Baker, H. V., Xu, W., Richards, D. R., McDonald-Smith, G. P., Gao, H., Hennessy, L., et al. (2013) · Proceedings of the National Academy of Sciences

Animal testing and alternativesImmune Response and Inflammation

Cited by 3,005

The positive false discovery rate: a Bayesian interpretation and the q-value

Storey, J. D. (2003) · The Annals of Statistics

Statistical Methods in Clinical TrialsStatistical Methods and Inference

Cited by 2,204

Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis

Leek, J. T., & Storey, J. D. (2007) · PLoS Genetics

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 1,930

Empirical Bayes analysis of a microarray experiment

Efron, B., Tibshirani, R., Storey, J. D., & Tusher, V. (2001) · Journal of the American Statistical Association

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 1,733

Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae

Arava, Y., Wang, Y., Storey, J. D., Liu, C. L., Brown, P. O., & Herschlag, D. (2003) · Proceedings of the National Academy of Sciences

RNA and protein synthesis mechanismsRNA Research and Splicing

Cited by 663

Assigning Significance to Peptides Identified by Tandem Mass Spectrometry Using Decoy Databases

Käll, L., Storey, J. D., MacCoss, M. J., & Noble, W. S. (2008) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 607

In Vivo Regulation of Human Skeletal Muscle Gene Expression by Thyroid Hormone

Clément, K., Viguerie, N., Diehn, M., Alizadeh, A., Barbe, P., Thalamas, C., Storey, J. D., Brown, P. O., Barsh, G. S., & Langin, D. (2002) · Genome Research

Thyroid Disorders and TreatmentsEstrogen and related hormone effects

Cited by 169

False Discovery Rate

Storey, J. D. (2025) · International Encyclopedia of Statistical Science

Statistical Methods in Clinical TrialsStatistical Methods and Inference

Cited by 152

Human transcriptome array for high-throughput clinical studies

Xu, W., Seok, J., Mindrinos, M. N., Schweitzer, A. C., Jiang, H., Wilhelmy, J., Clark, T. A., Kapur, K., Xing, Y., Faham, M., et al. (2011) · Proceedings of the National Academy of Sciences

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 124

subSeq: Determining Appropriate Sequencing Depth Through Efficient Read Subsampling

Robinson, D. G., & Storey, J. D. (2014) · Bioinformatics

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 57