203 related articles for article (PubMed ID: 36316338)
1. Network inference from perturbation time course data.
Sarmah D; Smith GR; Bouhaddou M; Stern AD; Erskine J; Birtwistle MR
NPJ Syst Biol Appl; 2022 Nov; 8(1):42. PubMed ID: 36316338
[TBL] [Abstract][Full Text] [Related]
2. Biological Network Inference and analysis using SEBINI and CABIN.
Taylor R; Singhal M
Methods Mol Biol; 2009; 541():551-76. PubMed ID: 19381531
[TBL] [Abstract][Full Text] [Related]
3. Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation.
Pinna A; Heise S; Flassig RJ; de la Fuente A; Klamt S
BMC Syst Biol; 2013 Aug; 7():73. PubMed ID: 23924435
[TBL] [Abstract][Full Text] [Related]
4. An algebra-based method for inferring gene regulatory networks.
Vera-Licona P; Jarrah A; Garcia-Puente LD; McGee J; Laubenbacher R
BMC Syst Biol; 2014 Mar; 8():37. PubMed ID: 24669835
[TBL] [Abstract][Full Text] [Related]
5. Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data.
Kiani NA; Kaderali L
BMC Bioinformatics; 2014 Jul; 15(1):250. PubMed ID: 25047753
[TBL] [Abstract][Full Text] [Related]
6. Inference of signaling and gene regulatory networks by steady-state perturbation experiments: structure and accuracy.
Andrec M; Kholodenko BN; Levy RM; Sontag E
J Theor Biol; 2005 Feb; 232(3):427-41. PubMed ID: 15572066
[TBL] [Abstract][Full Text] [Related]
7. Gene expression complex networks: synthesis, identification, and analysis.
Lopes FM; Cesar RM; Costa Lda F
J Comput Biol; 2011 Oct; 18(10):1353-67. PubMed ID: 21548810
[TBL] [Abstract][Full Text] [Related]
8. Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topology.
Santra T; Kolch W; Kholodenko BN
BMC Syst Biol; 2013 Jul; 7():57. PubMed ID: 23829771
[TBL] [Abstract][Full Text] [Related]
9. A posterior probability approach for gene regulatory network inference in genetic perturbation data.
Young WC; Raftery AE; Yeung KY
Math Biosci Eng; 2016 Dec; 13(6):1241-1251. PubMed ID: 27775378
[TBL] [Abstract][Full Text] [Related]
10. Reverse engineering gene regulatory networks by modular response analysis - a benchmark.
Klinger B; Blüthgen N
Essays Biochem; 2018 Oct; 62(4):535-547. PubMed ID: 30315094
[TBL] [Abstract][Full Text] [Related]
11. Gene Regulatory Network Inference from Perturbed Time-Series Expression Data via Ordered Dynamical Expansion of Non-Steady State Actors.
Zamanighomi M; Zamanian M; Kimber M; Wang Z
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(4):1093-1106. PubMed ID: 26701893
[TBL] [Abstract][Full Text] [Related]
12. Gene regulatory networks on transfer entropy (GRNTE): a novel approach to reconstruct gene regulatory interactions applied to a case study for the plant pathogen Phytophthora infestans.
Castro JC; Valdés I; Gonzalez-García LN; Danies G; Cañas S; Winck FV; Ñústez CE; Restrepo S; Riaño-Pachón DM
Theor Biol Med Model; 2019 Apr; 16(1):7. PubMed ID: 30961611
[TBL] [Abstract][Full Text] [Related]
13. MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data.
Yang B; Xu Y; Maxwell A; Koh W; Gong P; Zhang C
BMC Syst Biol; 2018 Dec; 12(Suppl 7):115. PubMed ID: 30547796
[TBL] [Abstract][Full Text] [Related]
14. bLARS: An Algorithm to Infer Gene Regulatory Networks.
Singh N; Vidyasagar M
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(2):301-14. PubMed ID: 27045829
[TBL] [Abstract][Full Text] [Related]
15. Construction of regulatory networks using expression time-series data of a genotyped population.
Yeung KY; Dombek KM; Lo K; Mittler JE; Zhu J; Schadt EE; Bumgarner RE; Raftery AE
Proc Natl Acad Sci U S A; 2011 Nov; 108(48):19436-41. PubMed ID: 22084118
[TBL] [Abstract][Full Text] [Related]
16. Evaluation and improvement of the regulatory inference for large co-expression networks with limited sample size.
Guo W; Calixto CPG; Tzioutziou N; Lin P; Waugh R; Brown JWS; Zhang R
BMC Syst Biol; 2017 Jun; 11(1):62. PubMed ID: 28629365
[TBL] [Abstract][Full Text] [Related]
17. Gene expression network reconstruction by convex feature selection when incorporating genetic perturbations.
Logsdon BA; Mezey J
PLoS Comput Biol; 2010 Dec; 6(12):e1001014. PubMed ID: 21152011
[TBL] [Abstract][Full Text] [Related]
18. A network inference workflow applied to virulence-related processes in Salmonella typhimurium.
Taylor RC; Singhal M; Weller J; Khoshnevis S; Shi L; McDermott J
Ann N Y Acad Sci; 2009 Mar; 1158():143-58. PubMed ID: 19348639
[TBL] [Abstract][Full Text] [Related]
19. D3GRN: a data driven dynamic network construction method to infer gene regulatory networks.
Chen X; Li M; Zheng R; Wu FX; Wang J
BMC Genomics; 2019 Dec; 20(Suppl 13):929. PubMed ID: 31881937
[TBL] [Abstract][Full Text] [Related]
20. Comparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methods.
Werhli AV
BMC Genomics; 2012; 13 Suppl 5(Suppl 5):S2. PubMed ID: 23095805
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]