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.
181 related articles for article (PubMed ID: 16873511)
1. An integrative approach for causal gene identification and gene regulatory pathway inference. Tu Z; Wang L; Arbeitman MN; Chen T; Sun F Bioinformatics; 2006 Jul; 22(14):e489-96. PubMed ID: 16873511 [TBL] [Abstract][Full Text] [Related]
2. Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data. Zhang Y; Xuan J; de los Reyes BG; Clarke R; Ressom HW BMC Bioinformatics; 2008 Apr; 9():203. PubMed ID: 18426580 [TBL] [Abstract][Full Text] [Related]
3. A causal inference approach for constructing transcriptional regulatory networks. Xing B; van der Laan MJ Bioinformatics; 2005 Nov; 21(21):4007-13. PubMed ID: 16131521 [TBL] [Abstract][Full Text] [Related]
4. Quantitative inference of dynamic regulatory pathways via microarray data. Chang WC; Li CW; Chen BS BMC Bioinformatics; 2005 Mar; 6():44. PubMed ID: 15748298 [TBL] [Abstract][Full Text] [Related]
5. Inferring Time-Delayed Causal Gene Network Using Time-Series Expression Data. Lo LY; Leung KS; Lee KH IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(5):1169-82. PubMed ID: 26451828 [TBL] [Abstract][Full Text] [Related]
6. Selective integration of multiple biological data for supervised network inference. Kato T; Tsuda K; Asai K Bioinformatics; 2005 May; 21(10):2488-95. PubMed ID: 15728114 [TBL] [Abstract][Full Text] [Related]
7. Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data. Nariai N; Tamada Y; Imoto S; Miyano S Bioinformatics; 2005 Sep; 21 Suppl 2():ii206-12. PubMed ID: 16204105 [TBL] [Abstract][Full Text] [Related]
8. Protein network inference from multiple genomic data: a supervised approach. Yamanishi Y; Vert JP; Kanehisa M Bioinformatics; 2004 Aug; 20 Suppl 1():i363-70. PubMed ID: 15262821 [TBL] [Abstract][Full Text] [Related]
9. Prediction of regulatory pathways using mRNA expression and protein interaction data: application to identification of galactose regulatory pathway. Darvish A; Najarian K Biosystems; 2006; 83(2-3):125-35. PubMed ID: 16384635 [TBL] [Abstract][Full Text] [Related]
10. Inferring quantitative models of regulatory networks from expression data. Nachman I; Regev A; Friedman N Bioinformatics; 2004 Aug; 20 Suppl 1():i248-56. PubMed ID: 15262806 [TBL] [Abstract][Full Text] [Related]
11. CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction data. Ma X; Lee H; Wang L; Sun F Bioinformatics; 2007 Jan; 23(2):215-21. PubMed ID: 17098772 [TBL] [Abstract][Full Text] [Related]
12. Predicting genetic regulatory response using classification. Middendorf M; Kundaje A; Wiggins C; Freund Y; Leslie C Bioinformatics; 2004 Aug; 20 Suppl 1():i232-40. PubMed ID: 15262804 [TBL] [Abstract][Full Text] [Related]
13. Identification of transcription factor cooperativity via stochastic system model. Chang YH; Wang YC; Chen BS Bioinformatics; 2006 Sep; 22(18):2276-82. PubMed ID: 16844711 [TBL] [Abstract][Full Text] [Related]
14. Identification of Gene Networks with Time Delayed Regulation Based on Temporal Expression Profiles. Kim JR; Choo SM; Choi HS; Cho KH IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(5):1161-8. PubMed ID: 26451827 [TBL] [Abstract][Full Text] [Related]
15. A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery. Yoo C; Cooper GF; Schmidt M J Biomed Inform; 2006 Apr; 39(2):126-46. PubMed ID: 16203178 [TBL] [Abstract][Full Text] [Related]
16. Probabilistic representation of gene regulatory networks. Mao L; Resat H Bioinformatics; 2004 Sep; 20(14):2258-69. PubMed ID: 15073019 [TBL] [Abstract][Full Text] [Related]
17. Inferring pairwise regulatory relationships from multiple time series datasets. Shi Y; Mitchell T; Bar-Joseph Z Bioinformatics; 2007 Mar; 23(6):755-63. PubMed ID: 17237067 [TBL] [Abstract][Full Text] [Related]
18. Using a state-space model with hidden variables to infer transcription factor activities. Li Z; Shaw SM; Yedwabnick MJ; Chan C Bioinformatics; 2006 Mar; 22(6):747-54. PubMed ID: 16403793 [TBL] [Abstract][Full Text] [Related]