These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
673 related articles for article (PubMed ID: 18447957)
1. A copula method for modeling directional dependence of genes. Kim JM; Jung YS; Sungur EA; Han KH; Park C; Sohn I BMC Bioinformatics; 2008 May; 9():225. PubMed ID: 18447957 [TBL] [Abstract][Full Text] [Related]
2. TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach. Zoppoli P; Morganella S; Ceccarelli M BMC Bioinformatics; 2010 Mar; 11():154. PubMed ID: 20338053 [TBL] [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; 12(Suppl 7):115. PubMed ID: 30547796 [TBL] [Abstract][Full Text] [Related]
4. Using Bayesian networks to analyze expression data. Friedman N; Linial M; Nachman I; Pe'er D J Comput Biol; 2000; 7(3-4):601-20. PubMed ID: 11108481 [TBL] [Abstract][Full Text] [Related]
5. Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network. Imoto S; Kim S; Goto T; Miyano S; Aburatani S; Tashiro K; Kuhara S J Bioinform Comput Biol; 2003 Jul; 1(2):231-52. PubMed ID: 15290771 [TBL] [Abstract][Full Text] [Related]
7. Using protein-protein interactions for refining gene networks estimated from microarray data by Bayesian networks. Nariai N; Kim S; Imoto S; Miyano S Pac Symp Biocomput; 2004; ():336-47. PubMed ID: 14992515 [TBL] [Abstract][Full Text] [Related]
9. Growing seed genes from time series data and thresholded Boolean networks with perturbation. Higa CH; Andrade TP; Hashimoto RF IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(1):37-49. PubMed ID: 23702542 [TBL] [Abstract][Full Text] [Related]
10. Transcriptional regulatory networks in Saccharomyces cerevisiae. Lee TI; Rinaldi NJ; Robert F; Odom DT; Bar-Joseph Z; Gerber GK; Hannett NM; Harbison CT; Thompson CM; Simon I; Zeitlinger J; Jennings EG; Murray HL; Gordon DB; Ren B; Wyrick JJ; Tagne JB; Volkert TL; Fraenkel E; Gifford DK; Young RA Science; 2002 Oct; 298(5594):799-804. PubMed ID: 12399584 [TBL] [Abstract][Full Text] [Related]
11. Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach. Bailly-Bechet M; Braunstein A; Pagnani A; Weigt M; Zecchina R BMC Bioinformatics; 2010 Jun; 11():355. PubMed ID: 20587029 [TBL] [Abstract][Full Text] [Related]
12. Constructing gene regulatory networks from microarray data using non-Gaussian pair-copula Bayesian networks. Chatrabgoun O; Hosseinian-Far A; Daneshkhah A J Bioinform Comput Biol; 2020 Aug; 18(4):2050023. PubMed ID: 32706288 [TBL] [Abstract][Full Text] [Related]
13. Identification of yeast transcriptional regulation networks using multivariate random forests. Xiao Y; Segal MR PLoS Comput Biol; 2009 Jun; 5(6):e1000414. PubMed ID: 19543377 [TBL] [Abstract][Full Text] [Related]
14. Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks. Kim CS BMC Bioinformatics; 2007 Jul; 8():251. PubMed ID: 17626641 [TBL] [Abstract][Full Text] [Related]
15. ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context. Margolin AA; Nemenman I; Basso K; Wiggins C; Stolovitzky G; Dalla Favera R; Califano A BMC Bioinformatics; 2006 Mar; 7 Suppl 1(Suppl 1):S7. PubMed ID: 16723010 [TBL] [Abstract][Full Text] [Related]
16. Bagging statistical network inference from large-scale gene expression data. de Matos Simoes R; Emmert-Streib F PLoS One; 2012; 7(3):e33624. PubMed ID: 22479422 [TBL] [Abstract][Full Text] [Related]
17. Learning transcriptional networks from the integration of ChIP-chip and expression data in a non-parametric model. Youn A; Reiss DJ; Stuetzle W Bioinformatics; 2010 Aug; 26(15):1879-86. PubMed ID: 20525821 [TBL] [Abstract][Full Text] [Related]
18. Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data. Panchy NL; Lloyd JP; Shiu SH BMC Genomics; 2020 Feb; 21(1):159. PubMed ID: 32054475 [TBL] [Abstract][Full Text] [Related]
19. Fast calculation of pairwise mutual information for gene regulatory network reconstruction. Qiu P; Gentles AJ; Plevritis SK Comput Methods Programs Biomed; 2009 May; 94(2):177-80. PubMed ID: 19167129 [TBL] [Abstract][Full Text] [Related]
20. Filtering high-throughput protein-protein interaction data using a combination of genomic features. Patil A; Nakamura H BMC Bioinformatics; 2005 Apr; 6():100. PubMed ID: 15833142 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]