References in zbMATH (referenced in 46 articles )

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  1. Chang, Jinyuan; Zhou, Wen; Zhou, Wen-Xin; Wang, Lan: Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering (2017)
  2. Shafaghati, Leila; Razaghi-Moghadam, Zahra; Mohammadnejad, Javad: A systems biology approach to understanding alcoholic liver disease molecular mechanism: the development of static and dynamic models (2017)
  3. Dasgupta, Nairanjana; Genz, Alan; Lazar, Nicole A.: A look at multiplicity through misclassification (2016)
  4. Ruddy, Sean; Johnson, Marla; Purdom, Elizabeth: Shrinkage of dispersion parameters in the binomial family, with application to differential exon skipping (2016)
  5. Aoshima, Makoto; Yata, Kazuyoshi: Asymptotic normality for inference on multisample, high-dimensional mean vectors under mild conditions (2015)
  6. Chekouo, Thierry; Murua, Alejandro; Raffelsberger, Wolfgang: The Gibbs-plaid biclustering model (2015)
  7. Lithio, Andrew; Nettleton, Dan: Hierarchical modeling and differential expression analysis for RNA-seq experiments with inbred and hybrid genotypes (2015)
  8. Mayrink, Vinicius D.; Lucas, Joseph E.: Bayesian factor models for the detection of coherent patterns in gene expression data (2015)
  9. Zehetmayer, Sonja; Graf, Alexandra C.; Posch, Martin: Sample size reassessment for a two-stage design controlling the false discovery rate (2015)
  10. Feng, Xingdong; He, Xuming: Statistical inference based on robust low-rank data matrix approximation (2014)
  11. Blocker, Alexander W.; Meng, Xiao-Li: The potential and perils of preprocessing: building new foundations (2013)
  12. Galluccio, Laurent; Michel, Olivier; Comon, Pierre; Kliger, Mark; Hero, Alfred O.: Clustering with a new distance measure based on a dual-rooted tree (2013) ioport
  13. Larese, Mónica G.; Granitto, Pablo M.; Gómez, Juan C.: Spot defects detection in cDNA microarray images (2013) ioport
  14. Yata, Kazuyoshi; Aoshima, Makoto: Correlation tests for high-dimensional data using extended cross-data-matrix methodology (2013)
  15. Dawson, John A.; Kendziorski, Christina: An empirical Bayesian approach for identifying differential coexpression in high-throughput experiments (2012)
  16. Klawonn, Frank: Significance tests to identify regulated proteins based on a large number of small samples (2012)
  17. Purutçuoǧlu, Vilda: Robust gene expression index (2012)
  18. She, Yiyuan: An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors (2012)
  19. Yata, Kazuyoshi; Aoshima, Makoto: Inference on high-dimensional mean vectors with fewer observations than the dimension (2012)
  20. Aoshima, Makoto; Yata, Kazuyoshi: Two-stage procedures for high-dimensional data (2011)

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