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210 related items for PubMed ID: 21071802
1. Influence of prior knowledge in constraint-based learning of gene regulatory networks. Tan M, Alshalalfa M, Alhajj R, Polat F. IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):130-42. PubMed ID: 21071802 [Abstract] [Full Text] [Related]
2. Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm. Wang M, Augusto Benedito V, Xuechun Zhao P, Udvardi M. Mol Biosyst; 2010 Jun; 6(6):988-98. PubMed ID: 20485743 [Abstract] [Full Text] [Related]
3. 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 Jun; 9(4):1203-11. PubMed ID: 22350207 [Abstract] [Full Text] [Related]
4. A hybrid Bayesian network learning method for constructing gene networks. Wang M, Chen Z, Cloutier S. Comput Biol Chem; 2007 Oct; 31(5-6):361-72. PubMed ID: 17889617 [Abstract] [Full Text] [Related]
5. CN: a consensus algorithm for inferring gene regulatory networks using the SORDER algorithm and conditional mutual information test. Aghdam R, Ganjali M, Zhang X, Eslahchi C. Mol Biosyst; 2015 Mar; 11(3):942-9. PubMed ID: 25607659 [Abstract] [Full Text] [Related]
6. Reconstruction of gene networks using prior knowledge. Ghanbari M, Lasserre J, Vingron M. BMC Syst Biol; 2015 Nov 20; 9():84. PubMed ID: 26589494 [Abstract] [Full Text] [Related]
7. Gene association networks from microarray data using a regularized estimation of partial correlation based on PLS regression. Tenenhaus A, Guillemot V, Gidrol X, Frouin V. IEEE/ACM Trans Comput Biol Bioinform; 2010 Nov 20; 7(2):251-62. PubMed ID: 20431145 [Abstract] [Full Text] [Related]
8. Gene regulatory network clustering for graph layout based on microarray gene expression data. Kojima K, Imoto S, Nagasaki M, Miyano S. Genome Inform; 2010 Nov 20; 24():84-95. PubMed ID: 22081591 [Abstract] [Full Text] [Related]
9. A Sparse Reconstruction Approach for Identifying Gene Regulatory Networks Using Steady-State Experiment Data. Zhang W, Zhou T. PLoS One; 2015 Nov 20; 10(7):e0130979. PubMed ID: 26207991 [Abstract] [Full Text] [Related]
10. Reconstructing directed signed gene regulatory network from microarray data. Qiu P, Plevritis SK. IEEE Trans Biomed Eng; 2011 Dec 20; 58(12):3518-21. PubMed ID: 21803675 [Abstract] [Full Text] [Related]
11. A SAT-based algorithm for finding attractors in synchronous Boolean networks. Dubrova E, Teslenko M. IEEE/ACM Trans Comput Biol Bioinform; 2011 Dec 20; 8(5):1393-9. PubMed ID: 21778527 [Abstract] [Full Text] [Related]
12. Biological Network Inference from Microarray Data, Current Solutions, and Assessments. Roy S, Guzzi PH. Methods Mol Biol; 2016 Dec 20; 1375():155-67. PubMed ID: 26507508 [Abstract] [Full Text] [Related]
13. SAGA: a hybrid search algorithm for Bayesian Network structure learning of transcriptional regulatory networks. Adabor ES, Acquaah-Mensah GK, Oduro FT. J Biomed Inform; 2015 Feb 20; 53():27-35. PubMed ID: 25181467 [Abstract] [Full Text] [Related]
14. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data. Shimamura T, Imoto S, Yamaguchi R, Miyano S. Genome Inform; 2007 Feb 20; 19():142-53. PubMed ID: 18546512 [Abstract] [Full Text] [Related]
15. Structural properties of gene regulatory networks: definitions and connections. Narasimhan S, Rengaswamy R, Vadigepalli R. IEEE/ACM Trans Comput Biol Bioinform; 2009 Feb 20; 6(1):158-70. PubMed ID: 19179709 [Abstract] [Full Text] [Related]
16. 3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics. Affeldt S, Verny L, Isambert H. BMC Bioinformatics; 2016 Jan 20; 17 Suppl 2(Suppl 2):12. PubMed ID: 26823190 [Abstract] [Full Text] [Related]
17. Inferring connectivity of genetic regulatory networks using information-theoretic criteria. Zhao W, Serpedin E, Dougherty ER. IEEE/ACM Trans Comput Biol Bioinform; 2008 Jan 20; 5(2):262-74. PubMed ID: 18451435 [Abstract] [Full Text] [Related]
18. Estimating genome-wide gene networks using nonparametric Bayesian network models on massively parallel computers. Tamada Y, Imoto S, Araki H, Nagasaki M, Print C, Charnock-Jones DS, Miyano S. IEEE/ACM Trans Comput Biol Bioinform; 2011 Jan 20; 8(3):683-97. PubMed ID: 20714027 [Abstract] [Full Text] [Related]
19. An effective structure learning method for constructing gene networks. Chen XW, Anantha G, Wang X. Bioinformatics; 2006 Jun 01; 22(11):1367-74. PubMed ID: 16543279 [Abstract] [Full Text] [Related]
20. Simulation study in Probabilistic Boolean Network models for genetic regulatory networks. Zhang SQ, Ching WK, Ng MK, Akutsu T. Int J Data Min Bioinform; 2007 Jun 01; 1(3):217-40. PubMed ID: 18399072 [Abstract] [Full Text] [Related] Page: [Next] [New Search]