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For: Grzegorczyk M, Husmeier D. Non-homogeneous dynamic Bayesian networks for continuous data. Mach Learn 2011. [DOI: 10.1007/s10994-010-5230-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Number Cited by Other Article(s)
1
Ajmal HB, Madden MG. Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022;19:2794-2805. [PMID: 34181549 DOI: 10.1109/tcbb.2021.3092879] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
2
Ajmal HB, Madden MG. Inferring dynamic gene regulatory networks with low-order conditional independencies – an evaluation of the method. Stat Appl Genet Mol Biol 2020. [DOI: 10.1515/sagmb-2020-0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
3
He R, Chen G, Shen X, Jiang S, Chen G. Reliability assessment of repairable closed-loop process systems under uncertainties. ISA TRANSACTIONS 2020;104:222-232. [PMID: 32402436 DOI: 10.1016/j.isatra.2020.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 04/17/2020] [Accepted: 05/05/2020] [Indexed: 06/11/2023]
4
Scutari M. Bayesian network models for incomplete and dynamic data. STAT NEERL 2020. [DOI: 10.1111/stan.12197] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
5
Liang Y, Kelemen A. Dynamic modeling and network approaches for omics time course data: overview of computational approaches and applications. Brief Bioinform 2019;19:1051-1068. [PMID: 28430854 DOI: 10.1093/bib/bbx036] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Indexed: 12/23/2022]  Open
6
Dondelinger F, Mukherjee S. Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks. Methods Mol Biol 2019;1883:25-48. [PMID: 30547395 DOI: 10.1007/978-1-4939-8882-2_2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
7
Huynh-Thu VA, Sanguinetti G. Gene Regulatory Network Inference: An Introductory Survey. Methods Mol Biol 2019;1883:1-23. [PMID: 30547394 DOI: 10.1007/978-1-4939-8882-2_1] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
8
Ni Y, Stingo FC, Baladandayuthapani V. Bayesian Graphical Regression. J Am Stat Assoc 2019;114:184-197. [PMID: 36937091 PMCID: PMC10021014 DOI: 10.1080/01621459.2017.1389739] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
9
Mahdi Mahmoudi S, Wit EC. Estimating Causal Effects from Nonparanormal Observational Data. Int J Biostat 2018;14:/j/ijb.ahead-of-print/ijb-2018-0030/ijb-2018-0030.xml. [PMID: 30173203 DOI: 10.1515/ijb-2018-0030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 07/26/2018] [Indexed: 11/15/2022]
10
Vinciotti V, Augugliaro L, Abbruzzo A, Wit EC. Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks. Stat Appl Genet Mol Biol 2018;15:193-212. [PMID: 27023322 DOI: 10.1515/sagmb-2014-0075] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
11
Wu PPY, McMahon K, Rasheed MA, Kendrick GA, York PH, Chartrand K, Caley MJ, Mengersen K. Managing seagrass resilience under cumulative dredging affecting light: Predicting risk using dynamic Bayesian networks. J Appl Ecol 2017. [DOI: 10.1111/1365-2664.13037] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
12
Liang Y, Kelemen A. Bayesian state space models for dynamic genetic network construction across multiple tissues. Stat Appl Genet Mol Biol 2017;15:273-90. [PMID: 27343475 DOI: 10.1515/sagmb-2014-0055] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
13
Intosalmi J, Nousiainen K, Ahlfors H, Lähdesmäki H. Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networks. Bioinformatics 2017;32:i288-i296. [PMID: 27307629 PMCID: PMC4908358 DOI: 10.1093/bioinformatics/btw274] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]  Open
14
Liang Y, Kelemen A. Computational dynamic approaches for temporal omics data with applications to systems medicine. BioData Min 2017. [PMID: 28638442 PMCID: PMC5473988 DOI: 10.1186/s13040-017-0140-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]  Open
15
Wu PP, Julian Caley M, Kendrick GA, McMahon K, Mengersen K. Dynamic Bayesian network inferencing for non‐homogeneous complex systems. J R Stat Soc Ser C Appl Stat 2017. [DOI: 10.1111/rssc.12228] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
16
Grzegorczyk M. A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points. Mach Learn 2016. [DOI: 10.1007/s10994-015-5503-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
17
Jennen DGJ, van Leeuwen DM, Hendrickx DM, Gottschalk RWH, van Delft JHM, Kleinjans JCS. Bayesian Network Inference Enables Unbiased Phenotypic Anchoring of Transcriptomic Responses to Cigarette Smoke in Humans. Chem Res Toxicol 2015;28:1936-48. [PMID: 26360787 DOI: 10.1021/acs.chemrestox.5b00145] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
18
Network Analysis Identifies Crosstalk Interactions Governing TGF-β Signaling Dynamics during Endoderm Differentiation of Human Embryonic Stem Cells. Processes (Basel) 2015. [DOI: 10.3390/pr3020286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]  Open
19
Maiti A, Reddy R, Mukherjee A. Structural prediction of dynamic Bayesian network with partial prior information. IEEE Trans Nanobioscience 2014;14:95-103. [PMID: 25314704 DOI: 10.1109/tnb.2014.2361838] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
20
Xiong J, Zhou T. A Kalman-filter based approach to identification of time-varying gene regulatory networks. PLoS One 2013;8:e74571. [PMID: 24116005 PMCID: PMC3792119 DOI: 10.1371/journal.pone.0074571] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2013] [Accepted: 08/04/2013] [Indexed: 11/18/2022]  Open
21
Kim Y, Han S, Choi S, Hwang D. Inference of dynamic networks using time-course data. Brief Bioinform 2013;15:212-28. [PMID: 23698724 DOI: 10.1093/bib/bbt028] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]  Open
22
Abegaz F, Wit E. Sparse time series chain graphical models for reconstructing genetic networks. Biostatistics 2013;14:586-99. [PMID: 23462022 DOI: 10.1093/biostatistics/kxt005] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]  Open
23
Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models. Mach Learn 2013. [DOI: 10.1007/s10994-012-5326-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
24
Hill SM, Lu Y, Molina J, Heiser LM, Spellman PT, Speed TP, Gray JW, Mills GB, Mukherjee S. Bayesian inference of signaling network topology in a cancer cell line. Bioinformatics 2012;28:2804-10. [PMID: 22923301 PMCID: PMC3476330 DOI: 10.1093/bioinformatics/bts514] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2012] [Revised: 07/27/2012] [Accepted: 08/13/2012] [Indexed: 11/13/2022]  Open
25
Aderhold A, Husmeier D, Lennon JJ, Beale CM, Smith VA. Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data. ECOL INFORM 2012. [DOI: 10.1016/j.ecoinf.2012.05.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
26
Dondelinger F, Lèbre S, Husmeier D. Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure. Mach Learn 2012. [DOI: 10.1007/s10994-012-5311-x] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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