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.
106 related articles for article (PubMed ID: 26451831)
1. Fuzzy Logic as a Computational Tool for Quantitative Modelling of Biological Systems with Uncertain Kinetic Data. Bordon J; Moskon M; Zimic N; Mraz M IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(5):1199-205. PubMed ID: 26451831 [TBL] [Abstract][Full Text] [Related]
2. Fuzzy clustering analysis of microarray data. Han L; Zeng X; Yan H Proc Inst Mech Eng H; 2008 Oct; 222(7):1143-8. PubMed ID: 19024161 [TBL] [Abstract][Full Text] [Related]
3. An effective fuzzy kernel clustering analysis approach for gene expression data. Sun L; Xu J; Yin J Biomed Mater Eng; 2015; 26 Suppl 1():S1863-9. PubMed ID: 26405958 [TBL] [Abstract][Full Text] [Related]
4. MMG: a probabilistic tool to identify submodules of metabolic pathways. Sanguinetti G; Noirel J; Wright PC Bioinformatics; 2008 Apr; 24(8):1078-84. PubMed ID: 18292114 [TBL] [Abstract][Full Text] [Related]
5. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks. Werhli AV; Grzegorczyk M; Husmeier D Bioinformatics; 2006 Oct; 22(20):2523-31. PubMed ID: 16844710 [TBL] [Abstract][Full Text] [Related]
6. Comparison of modelling approaches demonstrated for p16-mediated signalling pathway in higher eukaryotes. Akçay Nİ; Bashirov R Biosystems; 2021 Dec; 210():104562. PubMed ID: 34662677 [TBL] [Abstract][Full Text] [Related]
7. Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method. Li XL; Tan YC; Ng SK BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S23. PubMed ID: 17217516 [TBL] [Abstract][Full Text] [Related]
12. Learning Petri net models of non-linear gene interactions. Mayo M Biosystems; 2005 Oct; 82(1):74-82. PubMed ID: 16024165 [TBL] [Abstract][Full Text] [Related]
13. Probabilistic model of the human protein-protein interaction network. Rhodes DR; Tomlins SA; Varambally S; Mahavisno V; Barrette T; Kalyana-Sundaram S; Ghosh D; Pandey A; Chinnaiyan AM Nat Biotechnol; 2005 Aug; 23(8):951-9. PubMed ID: 16082366 [TBL] [Abstract][Full Text] [Related]
14. Fitting a geometric graph to a protein-protein interaction network. Higham DJ; Rasajski M; Przulj N Bioinformatics; 2008 Apr; 24(8):1093-9. PubMed ID: 18344248 [TBL] [Abstract][Full Text] [Related]
15. Modeling biological systems with uncertain kinetic data using fuzzy continuous Petri nets. Liu F; Chen S; Heiner M; Song H BMC Syst Biol; 2018 Apr; 12(Suppl 4):42. PubMed ID: 29745860 [TBL] [Abstract][Full Text] [Related]
16. Detecting Protein Complexes from Signed Protein-Protein Interaction Networks. Ou-Yang L; Dai DQ; Zhang XF IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(6):1333-44. PubMed ID: 26671805 [TBL] [Abstract][Full Text] [Related]
17. Circuit maps for the cell. Eisenstein M Nat Methods; 2006 Aug; 3(8):586. PubMed ID: 16892526 [TBL] [Abstract][Full Text] [Related]
18. Fuzzy Stochastic Petri Nets for Modeling Biological Systems with Uncertain Kinetic Parameters. Liu F; Heiner M; Yang M PLoS One; 2016; 11(2):e0149674. PubMed ID: 26910830 [TBL] [Abstract][Full Text] [Related]
19. Improving protein protein interaction prediction based on phylogenetic information using a least-squares support vector machine. Craig RA; Liao L Ann N Y Acad Sci; 2007 Dec; 1115():154-67. PubMed ID: 17925357 [TBL] [Abstract][Full Text] [Related]
20. An efficient algorithm for detecting frequent subgraphs in biological networks. Koyutürk M; Grama A; Szpankowski W Bioinformatics; 2004 Aug; 20 Suppl 1():i200-7. PubMed ID: 15262800 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]