SEARCH

SEARCH BY CITATION

Cited in:

CrossRef

This article has been cited by:

  1. 1
    Seokho Lee, Jianhua Z. Huang, A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood, Statistics and Computing, 2014, 24, 3, 429

    CrossRef

  2. 2
    Genevera I. Allen, Logan Grosenick, Jonathan Taylor, A Generalized Least-Square Matrix Decomposition, Journal of the American Statistical Association, 2014, 109, 505, 145

    CrossRef

  3. 3
    Kun Chen, Kung-Sik Chan, Nils Chr. Stenseth, Source-sink Reconstruction through Regularized Multi-component Regression Analysis – With Application to Assessing Whether North Sea Cod Larvae Contributed to Local Fjord Cod in Skagerrak, Journal of the American Statistical Association, 2014, 00

    CrossRef

  4. 4
    Marianna Bolla, SVD, discrepancy, and regular structure of contingency tables, Discrete Applied Mathematics, 2014,

    CrossRef

  5. 5
    Andrzej Cichocki, Academic Press Library in Signal Processing: Volume 1 - Signal Processing Theory and Machine Learning, 2014,

    CrossRef

  6. 6
    Dan Yang, Zongming Ma, Andreas Buja, A Sparse SVD Method for High-dimensional Data, Journal of Computational and Graphical Statistics, 2013, 131121100751008

    CrossRef

  7. 7
    G. Chen, P. F. Sullivan, M. R. Kosorok, Biclustering with heterogeneous variance, Proceedings of the National Academy of Sciences, 2013, 110, 30, 12253

    CrossRef

  8. 8
    Dan Shen, Haipeng Shen, J.S. Marron, Consistency of sparse PCA in High Dimension, Low Sample Size contexts, Journal of Multivariate Analysis, 2013, 115, 317

    CrossRef

  9. 9
    Xutao Li, Yunming Ye, Michael Ng, Qingyao Wu, MultiFacTV: module detection from higher-order time series biological data, BMC Genomics, 2013, 14, Suppl 4, S2

    CrossRef

  10. 10
    S. Lee, P. E. Chugh, H. Shen, R. Eberle, D. P. Dittmer, Poisson factor models with applications to non-normalized microRNA profiling, Bioinformatics, 2013, 29, 9, 1105

    CrossRef

  11. 11
    Chandra Das, Pradipta Maji, Possibilistic biclustering algorithm for discovering value-coherent overlapping δ-biclusters, International Journal of Machine Learning and Cybernetics, 2013,

    CrossRef

  12. 12
    Genevera I. Allen, Christine Peterson, Marina Vannucci, Mirjana Maletić-Savatić, Regularized partial least squares with an application to NMR spectroscopy, Statistical Analysis and Data Mining: The ASA Data Science Journal, 2013, 6, 4
  13. 13
    Kean Ming Tan, Daniela M. Witten, Sparse Biclustering of Transposable Data, Journal of Computational and Graphical Statistics, 2013, 131030064342008

    CrossRef

  14. 14
    Zhaoping Hong, Heng Lian, Sparse-smooth regularized singular value decomposition, Journal of Multivariate Analysis, 2013, 117, 163

    CrossRef

  15. 15
    Morten Arendt Rasmussen, Rasmus Bro, A tutorial on the Lasso approach to sparse modeling, Chemometrics and Intelligent Laboratory Systems, 2012, 119, 21

    CrossRef

  16. 16
    Rasmus Bro, Evangelos E. Papalexakis, Evrim Acar, Nicholas D. Sidiropoulos, Coclustering—a useful tool for chemometrics, Journal of Chemometrics, 2012, 26, 6
  17. 17
    Xi-Jun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu, Inference of gene regulatory subnetworks from time course gene expression data, BMC Bioinformatics, 2012, 13, Suppl 9, S3

    CrossRef

  18. 18
    Kun Chen, Kung-Sik Chan, Nils Chr. Stenseth, Reduced rank stochastic regression with a sparse singular value decomposition, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2012, 74, 2
  19. 19
    M. Sill, S. Kaiser, A. Benner, A. Kopp-Schneider, Robust biclustering by sparse singular value decomposition incorporating stability selection, Bioinformatics, 2011, 27, 15, 2089

    CrossRef

  20. 20
    G. I. Allen, M. Maletic-Savatic, Sparse non-negative generalized PCA with applications to metabolomics, Bioinformatics, 2011, 27, 21, 3029

    CrossRef

  21. 21
    Index,
  22. 22
    Genevera I. Allen, Patrick O. Perry, Singular Value Decomposition and High Dimensional Data, Encyclopedia of Environmetrics,