156 related articles for article (PubMed ID: 30979349)
1. Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data.
Xu S; Jia B; Liang F
Neural Comput; 2019 Jun; 31(6):1183-1214. PubMed ID: 30979349
[TBL] [Abstract][Full Text] [Related]
2. Worry less about the algorithm, more about the sequence of events.
Alemi F
Math Biosci Eng; 2020 Sep; 17(6):6557-6572. PubMed ID: 33378866
[No Abstract] [Full Text] [Related]
3. An algorithm for direct causal learning of influences on patient outcomes.
Rathnam C; Lee S; Jiang X
Artif Intell Med; 2017 Jan; 75():1-15. PubMed ID: 28363452
[TBL] [Abstract][Full Text] [Related]
4. 3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics.
Affeldt S; Verny L; Isambert H
BMC Bioinformatics; 2016 Jan; 17 Suppl 2(Suppl 2):12. PubMed ID: 26823190
[TBL] [Abstract][Full Text] [Related]
5. A novel algorithm for scalable and accurate Bayesian network learning.
Brown LE; Tsamardinos I; Aliferis CF
Stud Health Technol Inform; 2004; 107(Pt 1):711-5. PubMed ID: 15360905
[TBL] [Abstract][Full Text] [Related]
6. Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks.
Asvatourian V; Leray P; Michiels S; Lanoy E
Artif Intell Med; 2020 Jul; 107():101874. PubMed ID: 32828437
[TBL] [Abstract][Full Text] [Related]
7. Empirical evaluation of scoring functions for Bayesian network model selection.
Liu Z; Malone B; Yuan C
BMC Bioinformatics; 2012; 13 Suppl 15(Suppl 15):S14. PubMed ID: 23046392
[TBL] [Abstract][Full Text] [Related]
8. Constraint-based causal discovery with mixed data.
Tsagris M; Borboudakis G; Lagani V; Tsamardinos I
Int J Data Sci Anal; 2018; 6(1):19-30. PubMed ID: 30957008
[TBL] [Abstract][Full Text] [Related]
9. MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
Jiang B; Chen S; Wang B; Luo B
Neural Netw; 2022 Sep; 153():204-214. PubMed ID: 35750007
[TBL] [Abstract][Full Text] [Related]
10. Learning complex dependency structure of gene regulatory networks from high dimensional microarray data with Gaussian Bayesian networks.
Graafland CE; Gutiérrez JM
Sci Rep; 2022 Nov; 12(1):18704. PubMed ID: 36333425
[TBL] [Abstract][Full Text] [Related]
11. Constraint-Based, Score-Based and Hybrid Algorithms to Construct Bayesian Gene Networks in the Bovine Transcriptome.
Mortazavi A; Rashidi A; Ghaderi-Zefrehei M; Moradi P; Razmkabir M; Imumorin IG; Peters SO; Smith J
Animals (Basel); 2022 May; 12(10):. PubMed ID: 35625151
[TBL] [Abstract][Full Text] [Related]
12. An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection.
Xing L; Guo M; Liu X; Wang C; Wang L; Zhang Y
BMC Genomics; 2017 Nov; 18(Suppl 9):844. PubMed ID: 29219084
[TBL] [Abstract][Full Text] [Related]
13. Impact of noise on molecular network inference.
Nagarajan R; Scutari M
PLoS One; 2013; 8(12):e80735. PubMed ID: 24339879
[TBL] [Abstract][Full Text] [Related]
14. A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
Dornaika F; Bi J; Zhang C
Neural Netw; 2023 Jan; 158():188-196. PubMed ID: 36462365
[TBL] [Abstract][Full Text] [Related]
15. Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network.
Wang T; Li H; Noori M; Ghiasi R; Kuok SC; Altabey WA
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632183
[TBL] [Abstract][Full Text] [Related]
16. A sparse structure learning algorithm for Gaussian Bayesian Network identification from high-dimensional data.
Huang S; Li J; Ye J; Fleisher A; Chen K; Wu T; Reiman E;
IEEE Trans Pattern Anal Mach Intell; 2013 Jun; 35(6):1328-42. PubMed ID: 22665720
[TBL] [Abstract][Full Text] [Related]
17. Learning Bayesian networks from survival data using weighting censored instances.
Stajduhar I; Dalbelo-Basić B
J Biomed Inform; 2010 Aug; 43(4):613-22. PubMed ID: 20332035
[TBL] [Abstract][Full Text] [Related]
18. CausNet: generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraints.
Sharma N; Millstein J
BMC Bioinformatics; 2023 Feb; 24(1):46. PubMed ID: 36788490
[TBL] [Abstract][Full Text] [Related]
19. Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation.
Gaskell J; Campioni N; Morales JM; Husmeier D; Torney CJ
J R Soc Interface; 2023 Jan; 20(198):20220676. PubMed ID: 36596456
[TBL] [Abstract][Full Text] [Related]
20. A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems.
Yin W; Garimalla S; Moreno A; Galinski MR; Styczynski MP
BMC Syst Biol; 2015 Aug; 9():49. PubMed ID: 26310492
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
