-
1
-
-
1942453302
-
Predicting gene expression from sequence
-
Beer,M.A. and Tavazoie,S. (2004) Predicting gene expression from sequence. Cell, 117, 185-198.
-
(2004)
Cell
, vol.117
, pp. 185-198
-
-
Beer, M.A.1
Tavazoie, S.2
-
3
-
-
33646107783
-
Large-sample learning of Bayesian networks is NP-hard
-
Chickering,D.M. et al. (2004) Large-sample learning of Bayesian networks is NP-hard. J. Mach. Learn. Res., 5, 1287-1330.
-
(2004)
J. Mach. Learn. Res
, vol.5
, pp. 1287-1330
-
-
Chickering, D.M.1
-
4
-
-
33750057957
-
Learning Bayesian networks does not have to be NP-hard
-
Královic,R. and Urzyczyn,P, eds, Proceedings of Mathematical Foundations of Computer Science 2006, Springer-Verlag, pp
-
Dojer,N. (2006) Learning Bayesian networks does not have to be NP-hard. In Královic,R. and Urzyczyn,P. (eds), Proceedings of Mathematical Foundations of Computer Science 2006, LNCS 4162, Springer-Verlag, pp. 305-314.
-
(2006)
LNCS
, vol.4162
, pp. 305-314
-
-
Dojer, N.1
-
5
-
-
33746353952
-
Applying dynamic Bayesian networks to perturbed gene expression data
-
Dojer,N. et al. (2006) Applying dynamic Bayesian networks to perturbed gene expression data. BMC Bioinformatics, 7, 249.
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 249
-
-
Dojer, N.1
-
6
-
-
0037262841
-
Being Bayesian about network structure. a bayesian approach to structure discovery in bayesian networks
-
Friedman,N. and Koller,D. (2003) Being Bayesian about network structure. a bayesian approach to structure discovery in bayesian networks. Mach. Learn., 50, 95-125.
-
(2003)
Mach. Learn
, vol.50
, pp. 95-125
-
-
Friedman, N.1
Koller, D.2
-
7
-
-
0344464762
-
Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks
-
Husmeier,D. (2003) Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks. Bioinformatics, 19, 2271-2282.
-
(2003)
Bioinformatics
, vol.19
, pp. 2271-2282
-
-
Husmeier, D.1
-
8
-
-
1142266735
-
Finding a path is harder than finding a tree
-
Meek,C. (2001) Finding a path is harder than finding a tree. J. Artif. Intell. Res., 15, 383-389.
-
(2001)
J. Artif. Intell. Res
, vol.15
, pp. 383-389
-
-
Meek, C.1
-
9
-
-
62249132926
-
Software packages for graphical models - Bayesian networks
-
Murphy,K. (2007) Software packages for graphical models - Bayesian networks. Bull. Int. Soc. Bayesian Anal., 14.
-
(2007)
Bull. Int. Soc. Bayesian Anal
, vol.14
-
-
Murphy, K.1
-
10
-
-
0345707911
-
Bayes Net Toolbox.
-
Technical report. MIT Artificial Intelligence Laboratory
-
Murphy,K.P. (2002) Bayes Net Toolbox. Technical report. MIT Artificial Intelligence Laboratory.
-
(2002)
-
-
Murphy, K.P.1
-
11
-
-
34548459831
-
Aprimer on learning in Bayesian networks for computational biology
-
Needham,C.J. et al. (2007)Aprimer on learning in Bayesian networks for computational biology. PLoS Comput. Biol., 3, e129.
-
(2007)
PLoS Comput. Biol
, vol.3
-
-
Needham, C.J.1
-
12
-
-
2442703194
-
Finding optimal models for small gene networks
-
Ott,S. et al. (2004) Finding optimal models for small gene networks. Pac. Symp. Biocomput., 557-567.
-
(2004)
Pac. Symp. Biocomput
, pp. 557-567
-
-
Ott, S.1
-
13
-
-
2442446708
-
Genome-wide discovery of transcriptional modules from DNA sequence and gene expression
-
Segal,E. et al. (2003) Genome-wide discovery of transcriptional modules from DNA sequence and gene expression. Bioinformatics, 19 (Suppl. 1), 273-282.
-
(2003)
Bioinformatics
, vol.19
, Issue.SUPPL. 1
, pp. 273-282
-
-
Segal, E.1
-
14
-
-
33751407959
-
Computational inference of neural information flow networks
-
Smith,V.A. et al. (2006) Computational inference of neural information flow networks. PLoS Comput. Biol., 2, e161.
-
(2006)
PLoS Comput. Biol
, vol.2
-
-
Smith, V.A.1
-
15
-
-
3242891560
-
Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection
-
Tamada,Y. et al. (2003) Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. Bioinformatics, 19 (Suppl. 2), ii227-ii236.
-
(2003)
Bioinformatics
, vol.19
, Issue.SUPPL. 2
-
-
Tamada, Y.1
|