296 related articles for article (PubMed ID: 17493253)
1. Inferring biological networks with output kernel trees.
Geurts P; Touleimat N; Dutreix M; d'Alché-Buc F
BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S4. PubMed ID: 17493253
[TBL] [Abstract][Full Text] [Related]
2. Supervised inference of gene-regulatory networks.
To CC; Vohradsky J
BMC Bioinformatics; 2008 Jan; 9():2. PubMed ID: 18177495
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Validating module network learning algorithms using simulated data.
Michoel T; Maere S; Bonnet E; Joshi A; Saeys Y; Van den Bulcke T; Van Leemput K; van Remortel P; Kuiper M; Marchal K; Van de Peer Y
BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S5. PubMed ID: 17493254
[TBL] [Abstract][Full Text] [Related]
5. Supervised reconstruction of biological networks with local models.
Bleakley K; Biau G; Vert JP
Bioinformatics; 2007 Jul; 23(13):i57-65. PubMed ID: 17646345
[TBL] [Abstract][Full Text] [Related]
6. Boolean dynamics of genetic regulatory networks inferred from microarray time series data.
Martin S; Zhang Z; Martino A; Faulon JL
Bioinformatics; 2007 Apr; 23(7):866-74. PubMed ID: 17267426
[TBL] [Abstract][Full Text] [Related]
7. Gene regulatory network inference: data integration in dynamic models-a review.
Hecker M; Lambeck S; Toepfer S; van Someren E; Guthke R
Biosystems; 2009 Apr; 96(1):86-103. PubMed ID: 19150482
[TBL] [Abstract][Full Text] [Related]
8. Learning kernels from biological networks by maximizing entropy.
Tsuda K; Noble WS
Bioinformatics; 2004 Aug; 20 Suppl 1():i326-33. PubMed ID: 15262816
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Learning regulatory programs that accurately predict differential expression with MEDUSA.
Kundaje A; Lianoglou S; Li X; Quigley D; Arias M; Wiggins CH; Zhang L; Leslie C
Ann N Y Acad Sci; 2007 Dec; 1115():178-202. PubMed ID: 17934055
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. A framework for elucidating regulatory networks based on prior information and expression data.
Gevaert O; Van Vooren S; De Moor B
Ann N Y Acad Sci; 2007 Dec; 1115():240-8. PubMed ID: 17925352
[TBL] [Abstract][Full Text] [Related]
14. Ensemble learning of genetic networks from time-series expression data.
Nam D; Yoon SH; Kim JF
Bioinformatics; 2007 Dec; 23(23):3225-31. PubMed ID: 17977884
[TBL] [Abstract][Full Text] [Related]
15. Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process.
Opgen-Rhein R; Strimmer K
BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S3. PubMed ID: 17493252
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Construction of a reference gene association network from multiple profiling data: application to data analysis.
Ucar D; Neuhaus I; Ross-MacDonald P; Tilford C; Parthasarathy S; Siemers N; Ji RR
Bioinformatics; 2007 Oct; 23(20):2716-24. PubMed ID: 17846039
[TBL] [Abstract][Full Text] [Related]
18. Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference.
Quach M; Brunel N; d'Alché-Buc F
Bioinformatics; 2007 Dec; 23(23):3209-16. PubMed ID: 18042557
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers.
Armañanzas R; Inza I; Larrañaga P
Comput Methods Programs Biomed; 2008 Aug; 91(2):110-21. PubMed ID: 18433926
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
