132 related articles for article (PubMed ID: 23593235)
1. Iterative reconstruction of high-dimensional Gaussian Graphical Models based on a new method to estimate partial correlations under constraints.
Guillemot V; Bender A; Boulesteix AL
PLoS One; 2013; 8(4):e60536. PubMed ID: 23593235
[TBL] [Abstract][Full Text] [Related]
2. The 'un-shrunk' partial correlation in Gaussian graphical models.
Bernal V; Bischoff R; Horvatovich P; Guryev V; Grzegorczyk M
BMC Bioinformatics; 2021 Sep; 22(1):424. PubMed ID: 34493207
[TBL] [Abstract][Full Text] [Related]
3. Robust Gaussian graphical modeling via l1 penalization.
Sun H; Li H
Biometrics; 2012 Dec; 68(4):1197-206. PubMed ID: 23020775
[TBL] [Abstract][Full Text] [Related]
4. On joint estimation of Gaussian graphical models for spatial and temporal data.
Lin Z; Wang T; Yang C; Zhao H
Biometrics; 2017 Sep; 73(3):769-779. PubMed ID: 28099997
[TBL] [Abstract][Full Text] [Related]
5. Assisted estimation of gene expression graphical models.
Yi H; Zhang Q; Sun Y; Ma S
Genet Epidemiol; 2021 Jun; 45(4):372-385. PubMed ID: 33527531
[TBL] [Abstract][Full Text] [Related]
6. Relations between Networks, Regression, Partial Correlation, and the Latent Variable Model.
Waldorp L; Marsman M
Multivariate Behav Res; 2022; 57(6):994-1006. PubMed ID: 34397314
[TBL] [Abstract][Full Text] [Related]
7. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
Werhli AV; Grzegorczyk M; Husmeier D
Bioinformatics; 2006 Oct; 22(20):2523-31. PubMed ID: 16844710
[TBL] [Abstract][Full Text] [Related]
8. Information-incorporated Gaussian graphical model for gene expression data.
Yi H; Zhang Q; Lin C; Ma S
Biometrics; 2022 Jun; 78(2):512-523. PubMed ID: 33527365
[TBL] [Abstract][Full Text] [Related]
9. Exact hypothesis testing for shrinkage-based Gaussian graphical models.
Bernal V; Bischoff R; Guryev V; Grzegorczyk M; Horvatovich P
Bioinformatics; 2019 Dec; 35(23):5011-5017. PubMed ID: 31077287
[TBL] [Abstract][Full Text] [Related]
10. Meta-analytic Gaussian Network Aggregation.
Epskamp S; Isvoranu AM; Cheung MW
Psychometrika; 2022 Mar; 87(1):12-46. PubMed ID: 34264449
[TBL] [Abstract][Full Text] [Related]
11. FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks.
Wang T; Ren Z; Ding Y; Fang Z; Sun Z; MacDonald ML; Sweet RA; Wang J; Chen W
PLoS Comput Biol; 2016 Feb; 12(2):e1004755. PubMed ID: 26872036
[TBL] [Abstract][Full Text] [Related]
12. Back to the basics: Rethinking partial correlation network methodology.
Williams DR; Rast P
Br J Math Stat Psychol; 2020 May; 73(2):187-212. PubMed ID: 31206621
[TBL] [Abstract][Full Text] [Related]
13. Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data.
Krumsiek J; Suhre K; Illig T; Adamski J; Theis FJ
BMC Syst Biol; 2011 Jan; 5():21. PubMed ID: 21281499
[TBL] [Abstract][Full Text] [Related]
14. Gaussian graphical models with applications to omics analyses.
Shutta KH; De Vito R; Scholtens DM; Balasubramanian R
Stat Med; 2022 Nov; 41(25):5150-5187. PubMed ID: 36161666
[TBL] [Abstract][Full Text] [Related]
15. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
[TBL] [Abstract][Full Text] [Related]
16. A Partial Correlation Screening Approach for Controlling the False Positive Rate in Sparse Gaussian Graphical Models.
Lafit G; Tuerlinckx F; Myin-Germeys I; Ceulemans E
Sci Rep; 2019 Nov; 9(1):17759. PubMed ID: 31780817
[TBL] [Abstract][Full Text] [Related]
17. On Penalty Parameter Selection for Estimating Network Models.
Wysocki AC; Rhemtulla M
Multivariate Behav Res; 2021; 56(2):288-302. PubMed ID: 31672065
[TBL] [Abstract][Full Text] [Related]
18. SpiderLearner: An ensemble approach to Gaussian graphical model estimation.
Shutta KH; Balzer LB; Scholtens DM; Balasubramanian R
Stat Med; 2023 Jun; 42(13):2116-2133. PubMed ID: 37004994
[TBL] [Abstract][Full Text] [Related]
19. Gaussian and Mixed Graphical Models as (multi-)omics data analysis tools.
Altenbuchinger M; Weihs A; Quackenbush J; Grabe HJ; Zacharias HU
Biochim Biophys Acta Gene Regul Mech; 2020 Jun; 1863(6):194418. PubMed ID: 31639475
[TBL] [Abstract][Full Text] [Related]
20. Modeling correlated marker effects in genome-wide prediction via Gaussian concentration graph models.
Martínez CA; Khare K; Rahman S; Elzo MA
J Theor Biol; 2018 Jan; 437():67-78. PubMed ID: 29055677
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
