104 related articles for article (PubMed ID: 24927837)
1. A tutorial to identify nonlinear associations in gene expression time series data.
Fujita A; Miyano S
Methods Mol Biol; 2014; 1164():87-95. PubMed ID: 24927837
[TBL] [Abstract][Full Text] [Related]
2. Modeling nonlinear gene regulatory networks from time series gene expression data.
Fujita A; Sato JR; Garay-Malpartida HM; Sogayar MC; Ferreira CE; Miyano S
J Bioinform Comput Biol; 2008 Oct; 6(5):961-79. PubMed ID: 18942161
[TBL] [Abstract][Full Text] [Related]
3. A new multiple regression approach for the construction of genetic regulatory networks.
Zhang SQ; Ching WK; Tsing NK; Leung HY; Guo D
Artif Intell Med; 2010; 48(2-3):153-60. PubMed ID: 19963359
[TBL] [Abstract][Full Text] [Related]
4. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method.
Fujita A; Sato JR; Garay-Malpartida HM; Morettin PA; Sogayar MC; Ferreira CE
Bioinformatics; 2007 Jul; 23(13):1623-30. PubMed ID: 17463021
[TBL] [Abstract][Full Text] [Related]
5. Modeling the temporal evolution of the Drosophila gene expression from DNA microarray time series.
Haye A; Dehouck Y; Kwasigroch JM; Bogaerts P; Rooman M
Phys Biol; 2009 Jan; 6(1):016004. PubMed ID: 19171963
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series.
Wang Z; Liu X; Liu Y; Liang J; Vinciotti V
IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(3):410-9. PubMed ID: 19644169
[TBL] [Abstract][Full Text] [Related]
9. Reconstruction of transcriptional network from microarray data using combined mutual information and network-assisted regression.
Wang XD; Qi YX; Jiang ZL
IET Syst Biol; 2011 Mar; 5(2):95-102. PubMed ID: 21405197
[TBL] [Abstract][Full Text] [Related]
10. Boolean modeling of biological regulatory networks: a methodology tutorial.
Saadatpour A; Albert R
Methods; 2013 Jul; 62(1):3-12. PubMed ID: 23142247
[TBL] [Abstract][Full Text] [Related]
11. Using gene expression programming to infer gene regulatory networks from time-series data.
Zhang Y; Pu Y; Zhang H; Su Y; Zhang L; Zhou J
Comput Biol Chem; 2013 Dec; 47():198-206. PubMed ID: 24140883
[TBL] [Abstract][Full Text] [Related]
12. Prediction of pairwise gene interaction using threshold logic.
Gowda T; Vrudhula S; Kim S
Ann N Y Acad Sci; 2009 Mar; 1158():276-86. PubMed ID: 19348649
[TBL] [Abstract][Full Text] [Related]
13. Genetic network identification using convex programming.
Julius A; Zavlanos M; Boyd S; Pappas GJ
IET Syst Biol; 2009 May; 3(3):155-66. PubMed ID: 19449976
[TBL] [Abstract][Full Text] [Related]
14. Gene regulatory network clustering for graph layout based on microarray gene expression data.
Kojima K; Imoto S; Nagasaki M; Miyano S
Genome Inform; 2010; 24():84-95. PubMed ID: 22081591
[TBL] [Abstract][Full Text] [Related]
15. Modeling of gene regulatory network dynamics using threshold logic.
Gowda T; Vrudhula S; Kim S
Ann N Y Acad Sci; 2009 Mar; 1158():71-81. PubMed ID: 19348633
[TBL] [Abstract][Full Text] [Related]
16. Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization.
Hasegawa T; Yamaguchi R; Nagasaki M; Miyano S; Imoto S
PLoS One; 2014; 9(8):e105942. PubMed ID: 25162401
[TBL] [Abstract][Full Text] [Related]
17. An empirical Bayesian method for estimating biological networks from temporal microarray data.
Rau A; Jaffrézic F; Foulley JL; Doerge RW
Stat Appl Genet Mol Biol; 2010; 9():Article 9. PubMed ID: 20196759
[TBL] [Abstract][Full Text] [Related]
18. Gene coexpression as Hebbian learning in prokaryotic genomes.
Vey G
Bull Math Biol; 2013 Dec; 75(12):2431-49. PubMed ID: 24078338
[TBL] [Abstract][Full Text] [Related]
19. Inferring contagion in regulatory networks.
Fujita A; Sato JR; Angelo M; Demasi A; Yamaguchi R; Shimamura T; Ferreira CE; Sogayar MC; Miyano S
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(2):570-76. PubMed ID: 20479499
[TBL] [Abstract][Full Text] [Related]
20. Disturbance analysis of nonlinear differential equation models of genetic SUM regulatory networks.
Li P; Lam J
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):253-9. PubMed ID: 21071813
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
