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Journal Abstract Search
735 related items for PubMed ID: 26207991
1. A Sparse Reconstruction Approach for Identifying Gene Regulatory Networks Using Steady-State Experiment Data. Zhang W, Zhou T. PLoS One; 2015; 10(7):e0130979. PubMed ID: 26207991 [Abstract] [Full Text] [Related]
2. Causal relationship inference for a large-scale cellular network. Zhou T, Wang YL. Bioinformatics; 2010 Aug 15; 26(16):2020-8. PubMed ID: 20554691 [Abstract] [Full Text] [Related]
3. 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 14; 12(Suppl 7):115. PubMed ID: 30547796 [Abstract] [Full Text] [Related]
4. Applying attractor dynamics to infer gene regulatory interactions involved in cellular differentiation. Ghaffarizadeh A, Podgorski GJ, Flann NS. Biosystems; 2017 May 14; 155():29-41. PubMed ID: 28254369 [Abstract] [Full Text] [Related]
5. A new asynchronous parallel algorithm for inferring large-scale gene regulatory networks. Xiao X, Zhang W, Zou X. PLoS One; 2015 May 14; 10(3):e0119294. PubMed ID: 25807392 [Abstract] [Full Text] [Related]
6. 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 17; 18(Suppl 9):844. PubMed ID: 29219084 [Abstract] [Full Text] [Related]
7. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency. Shi X, Wang X, Shajahan A, Hilakivi-Clarke L, Clarke R, Xuan J. BMC Genomics; 2015 Nov 17; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273 [Abstract] [Full Text] [Related]
8. Inferring gene regulatory networks via nonlinear state-space models and exploiting sparsity. Noor A, Serpedin E, Nounou M, Nounou HN. IEEE/ACM Trans Comput Biol Bioinform; 2012 Nov 17; 9(4):1203-11. PubMed ID: 22350207 [Abstract] [Full Text] [Related]
9. Inferring Large-Scale Gene Regulatory Networks Using a Randomized Algorithm Based on Singular Value Decomposition. Fan A, Wang H, Xiang H, Zou X. IEEE/ACM Trans Comput Biol Bioinform; 2019 Nov 17; 16(6):1997-2008. PubMed ID: 29993839 [Abstract] [Full Text] [Related]
10. Inference of Gene Regulatory Network Based on Local Bayesian Networks. Liu F, Zhang SW, Guo WF, Wei ZG, Chen L. PLoS Comput Biol; 2016 Aug 17; 12(8):e1005024. PubMed ID: 27479082 [Abstract] [Full Text] [Related]
11. Genetic network inference as a series of discrimination tasks. Kimura S, Nakayama S, Hatakeyama M. Bioinformatics; 2009 Apr 01; 25(7):918-25. PubMed ID: 19189976 [Abstract] [Full Text] [Related]
12. Estimating sparse gene regulatory networks using a bayesian linear regression. Sarder P, Schierding W, Cobb JP, Nehorai A. IEEE Trans Nanobioscience; 2010 Jun 01; 9(2):121-31. PubMed ID: 20650703 [Abstract] [Full Text] [Related]
14. Hybrid method inference for the construction of cooperative regulatory network in human. Chebil I, Nicolle R, Santini G, Rouveirol C, Elati M. IEEE Trans Nanobioscience; 2014 Jun 01; 13(2):97-103. PubMed ID: 24771593 [Abstract] [Full Text] [Related]
15. Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics. Aijö T, Lähdesmäki H. Bioinformatics; 2009 Nov 15; 25(22):2937-44. PubMed ID: 19706742 [Abstract] [Full Text] [Related]
16. Gene expression complex networks: synthesis, identification, and analysis. Lopes FM, Cesar RM, Costa Lda F. J Comput Biol; 2011 Oct 15; 18(10):1353-67. PubMed ID: 21548810 [Abstract] [Full Text] [Related]
17. [Study of Algorithms Reconstructing Gene Regulatory Network with Resampling and Conditional Mutual Information]. Liu F. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Oct 15; 33(5):985-90. PubMed ID: 29714955 [Abstract] [Full Text] [Related]
18. Time Delayed Causal Gene Regulatory Network Inference with Hidden Common Causes. Lo LY, Wong ML, Lee KH, Leung KS. PLoS One; 2015 Oct 15; 10(9):e0138596. PubMed ID: 26394325 [Abstract] [Full Text] [Related]