-
1
-
-
0033707946
-
Using Bayesian networks to analyze expression data
-
DOI 10.1089/106652700750050961
-
Friedman, N., Linial, M., Nachman, I., Pe'er, D.: Using Bayesian networks to analyze expression data. Journal of Computational Biology 7, 601-620 (2000) (Pubitemid 30944025)
-
(2000)
Journal of Computational Biology
, vol.7
, Issue.3-4
, pp. 601-620
-
-
Friedman, N.1
Linial, M.2
Nachman, I.3
Pe'er, D.4
-
2
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G.F., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9, 309-347 (1992)
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.2
-
4
-
-
3042698613
-
Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network
-
Imoto, S., Kim, S., Goto, T., Aburatani, S., Tashiro, K., Kuhara, S., Miyano, S.: Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network. Journal of Bioinformatics and Computational Biology 1(2), 231-251 (2003)
-
(2003)
Journal of Bioinformatics and Computational Biology
, vol.1
, Issue.2
, pp. 231-251
-
-
Imoto, S.1
Kim, S.2
Goto, T.3
Aburatani, S.4
Tashiro, K.5
Kuhara, S.6
Miyano, S.7
-
5
-
-
39449124154
-
Inference of gene pathways using Gaussian mixture models
-
Fremont, CA
-
Ko, Y., Zhai, C., Rodriguez-Zas, S.L.: Inference of gene pathways using Gaussian mixture models. In: BIBM International Conference on Bioinformatics and Biomedicine, pp. 362-367. Fremont, CA (2007)
-
(2007)
BIBM International Conference on Bioinformatics and Biomedicine
, pp. 362-367
-
-
Ko, Y.1
Zhai, C.2
Rodriguez-Zas, S.L.3
-
6
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G.: Estimating the dimension of a model. Annals of Statistics 6(2), 461 464 (1978)
-
(1978)
Annals of Statistics
, vol.6
, Issue.2
, pp. 461-464
-
-
Schwarz, G.1
-
7
-
-
34249673263
-
Bayesian finite mixtures with an unknown number of components: The allocation sampler
-
Nobile, A., Fearnside, A.T.: Bayesian finite mixtures with an unknown number of components: The allocation sampler. Statistics and Computing 17(2), 147-162 (2007)
-
(2007)
Statistics and Computing
, vol.17
, Issue.2
, pp. 147-162
-
-
Nobile, A.1
Fearnside, A.T.2
-
8
-
-
51749112494
-
Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler
-
Grzegorczyk, M., Husmeier, D., Edwards, K.D., Ghazal, P., Millar, A.J.: Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler. Bioinformatics 24, 2071-2078 (2008)
-
(2008)
Bioinformatics
, vol.24
, pp. 2071-2078
-
-
Grzegorczyk, M.1
Husmeier, D.2
Edwards, K.D.3
Ghazal, P.4
Millar, A.J.5
-
10
-
-
77956889087
-
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
-
Green, P.J.: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82(4), 711-732 (1995)
-
(1995)
Biometrika
, vol.82
, Issue.4
, pp. 711-732
-
-
Green, P.J.1
-
11
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
Gelman, A., Rubin, D.B.: Inference from iterative simulation using multiple sequences. Statistical Science 7(4), 457-472 (1992)
-
(1992)
Statistical Science
, vol.7
, Issue.4
, pp. 457-472
-
-
Gelman, A.1
Rubin, D.B.2
-
14
-
-
46049101810
-
Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditions.
-
Werhli, A.V., Husmeier, D.: Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditions. Journal of Bioinformatics and Computational Biology 6(3), 543-572 (2008)
-
(2008)
Journal of Bioinformatics and Computational Biology
, vol.6
, Issue.3
, pp. 543-572
-
-
Werhli, A.V.1
Husmeier, D.2
|