BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 26167394)

  • 1. Pathway Graphical Lasso.
    Grechkin M; Fazel M; Witten D; Lee SI
    Proc AAAI Conf Artif Intell; 2015 Jan; 2015():2617-2623. PubMed ID: 26167394
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Integrated Approach of Learning Genetic Networks From Genome-Wide Gene Expression Data Using Gaussian Graphical Model and Monte Carlo Method.
    Zhao H; Datta S; Duan ZH
    Bioinform Biol Insights; 2023; 17():11779322231152972. PubMed ID: 36865982
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The joint graphical lasso for inverse covariance estimation across multiple classes.
    Danaher P; Wang P; Witten DM
    J R Stat Soc Series B Stat Methodol; 2014 Mar; 76(2):373-397. PubMed ID: 24817823
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Learning Graphical Models With Hubs.
    Tan KM; London P; Mohan K; Lee SI; Fazel M; Witten D
    J Mach Learn Res; 2014 Oct; 15():3297-3331. PubMed ID: 25620891
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso.
    Mazumder R; Hastie T
    J Mach Learn Res; 2012 Mar; 13():781-794. PubMed ID: 25392704
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Weighted Fused Pathway Graphical Lasso for Joint Estimation of Multiple Gene Networks.
    Wu N; Huang J; Zhang XF; Ou-Yang L; He S; Zhu Z; Xie W
    Front Genet; 2019; 10():623. PubMed ID: 31396259
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The cluster graphical lasso for improved estimation of Gaussian graphical models.
    Tan KM; Witten D; Shojaie A
    Comput Stat Data Anal; 2015 May; 85():23-36. PubMed ID: 25642008
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Tailored graphical lasso for data integration in gene network reconstruction.
    Lingjærde C; Lien TG; Borgan Ø; Bergholtz H; Glad IK
    BMC Bioinformatics; 2021 Oct; 22(1):498. PubMed ID: 34654363
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The graphical lasso: New insights and alternatives.
    Mazumder R; Hastie T
    Electron J Stat; 2012 Nov; 6():2125-2149. PubMed ID: 25558297
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO.
    Zuo Y; Cui Y; Yu G; Li R; Ressom HW
    BMC Bioinformatics; 2017 Feb; 18(1):99. PubMed ID: 28187708
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Structured Learning of Gaussian Graphical Models.
    Mohan K; Chung MJ; Han S; Witten D; Lee SI; Fazel M
    Adv Neural Inf Process Syst; 2012; 2012():629-637. PubMed ID: 25360066
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene Network Reconstruction by Integration of Prior Biological Knowledge.
    Li Y; Jackson SA
    G3 (Bethesda); 2015 Mar; 5(6):1075-9. PubMed ID: 25823587
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning.
    Zhuang Y; Xing F; Ghosh D; Banaei-Kashani F; Bowler RP; Kechris K
    Front Genet; 2021; 12():760299. PubMed ID: 35154240
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.
    Shimamura T; Imoto S; Yamaguchi R; Miyano S
    Genome Inform; 2007; 19():142-53. PubMed ID: 18546512
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer.
    Chiquet J; Rigaill G; Sundqvist M
    Methods Mol Biol; 2019; 1883():143-160. PubMed ID: 30547399
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cancer Genetic Network Inference Using Gaussian Graphical Models.
    Zhao H; Duan ZH
    Bioinform Biol Insights; 2019; 13():1177932219839402. PubMed ID: 31007526
    [TBL] [Abstract][Full Text] [Related]  

  • 17. RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks.
    Seal S; Li Q; Basner EB; Saba LM; Kechris K
    PLoS Comput Biol; 2023 Jan; 19(1):e1010758. PubMed ID: 36607897
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Node-Based Learning of Multiple Gaussian Graphical Models.
    Mohan K; London P; Fazel M; Witten D; Lee SI
    J Mach Learn Res; 2014 Jan; 15(1):445-488. PubMed ID: 25309137
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Alternating direction methods for latent variable gaussian graphical model selection.
    Ma S; Xue L; Zou H
    Neural Comput; 2013 Aug; 25(8):2172-98. PubMed ID: 23607561
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Network Inference via the Time-Varying Graphical Lasso.
    Hallac D; Park Y; Boyd S; Leskovec J
    KDD; 2017 Aug; 2017():205-213. PubMed ID: 29770256
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.