These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

41 related articles for article (PubMed ID: 20921584)

  • 1. Accuracy of Pseudo-Inverse Covariance Learning--A Random Matrix Theory Analysis.
    Hoyle DC
    IEEE Trans Pattern Anal Mach Intell; 2011 Jul; 33(7):1470-81. PubMed ID: 20921584
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimal covariance cleaning for heavy-tailed distributions: Insights from information theory.
    Bongiorno C; Berritta M
    Phys Rev E; 2023 Nov; 108(5-1):054133. PubMed ID: 38115530
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accounting for Sampling Error in Genetic Eigenvalues Using Random Matrix Theory.
    Sztepanacz JL; Blows MW
    Genetics; 2017 Jul; 206(3):1271-1284. PubMed ID: 28476865
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA).
    Frost HR
    J Comput Graph Stat; 2022; 31(2):486-501. PubMed ID: 35693984
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An
    Fan J; Wang W; Zhong Y
    J Mach Learn Res; 2018 Apr; 18():. PubMed ID: 31749664
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimation of the false discovery proportion with unknown dependence.
    Fan J; Han X
    J R Stat Soc Series B Stat Methodol; 2017 Sep; 79(4):1143-1164. PubMed ID: 29056863
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Use of random integration to test equality of high dimensional covariance matrices.
    Jiang Y; Wen C; Jiang Y; Wang X; Zhang H
    Stat Sin; 2023 Oct; 33(4):2359-2380. PubMed ID: 37799490
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computationally efficient banding of large covariance matrices for ordered data and connections to banding the inverse Cholesky factor.
    Wang Y; Daniels MJ
    J Multivar Anal; 2014 Sep; 130():21-26. PubMed ID: 25147413
    [TBL] [Abstract][Full Text] [Related]  

  • 9. HYPOTHESIS TESTING ON LINEAR STRUCTURES OF HIGH DIMENSIONAL COVARIANCE MATRIX.
    Zheng S; Chen Z; Cui H; Li R
    Ann Stat; 2019; 47(6):3300-3334. PubMed ID: 31839687
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Stepwise Covariance-Free Common Principal Components (CF-CPC) With an Application to Neuroscience.
    Riaz U; Razzaq FA; Hu S; Valdés-Sosa PA
    Front Neurosci; 2021; 15():750290. PubMed ID: 34867161
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Asymptotics of empirical eigenstructure for high dimensional spiked covariance.
    Wang W; Fan J
    Ann Stat; 2017 Jun; 45(3):1342-1374. PubMed ID: 28835726
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ergodic Subspace Analysis.
    von Oertzen T; Schmiedek F; Voelkle MC
    J Intell; 2020 Jan; 8(1):. PubMed ID: 31935852
    [TBL] [Abstract][Full Text] [Related]  

  • 13. HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification.
    Litvinenko A; Kriemann R; Genton MG; Sun Y; Keyes DE
    MethodsX; 2020; 7():100600. PubMed ID: 32021810
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Statistics and Mathematics of High Dimension Low Sample Size Asymptotics.
    Shen D; Shen H; Zhu H; Marron JS
    Stat Sin; 2016 Oct; 26(4):1747-1770. PubMed ID: 28018116
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fast Covariance Estimation for High-dimensional Functional Data.
    Xiao L; Zipunnikov V; Ruppert D; Crainiceanu C
    Stat Comput; 2016 Jan; 26(1):409-421. PubMed ID: 26903705
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes.
    De Boeck P; DeKay ML; Pek J
    Psychometrika; 2024 Jul; ():. PubMed ID: 38963537
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adaptive interference suppression based on an invariant subspace of matrices matching for a horizontal array in underwater acoustics.
    Sheng X; Li D; Cao R; Zhou X; Yin J
    JASA Express Lett; 2024 Jun; 4(6):. PubMed ID: 38869384
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series.
    Xu M; Chen X; Wu WB
    Entropy (Basel); 2019 Dec; 22(1):. PubMed ID: 33285830
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Graph reconstruction using covariance-based methods.
    Sulaimanov N; Koeppl H
    EURASIP J Bioinform Syst Biol; 2016 Dec; 2016(1):19. PubMed ID: 27942259
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating a structured covariance matrix from multi-lab measurements in high-throughput biology.
    Franks AM; Csárdi G; Drummond DA; Airoldi EM
    J Am Stat Assoc; 2015 Mar; 110(509):27-44. PubMed ID: 25954056
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 3.