-
1
-
-
0033655775
-
Mutual information relevance networks: Functional genomic clustering using pairwise entropy measurements
-
A. Butte and I. Kohane. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements. Pac Symp Biocomput, pages 418-29, 2000.
-
(2000)
Pac Symp Biocomput
, pp. 418-429
-
-
Butte, A.1
Kohane, I.2
-
2
-
-
0032112293
-
A genome-wide transcriptional analyssi of the mitotic cell cycle
-
R.J. Chou, M.J. Campbell, E.A. Winzeler, L. Steinmetz, A. Conway, L.Wodicka, and T.G.Wolfsberg. A genome-wide transcriptional analyssi of the mitotic cell cycle. Mol.Cell, 2:65-73, 1998.
-
(1998)
Mol.Cell
, vol.2
, pp. 65-73
-
-
Chou, R.J.1
Campbell, M.J.2
Winzeler, E.A.3
Steinmetz, L.4
Conway, A.5
Wodicka, L.6
Wolfsberg, T.G.7
-
3
-
-
2442687038
-
A mixed integer linear programming (MILP) framework for inferring time delay in gene regulatory networks
-
M.S. Dasika, A. Gupta and C.D. Marans. A mixed integer linear programming (MILP) framework for inferring time delay in gene regulatory networks. Pac Symp Biocomput, 474-85, 2004.
-
(2004)
Pac Symp Biocomput
, pp. 474-485
-
-
Dasika, M.S.1
Gupta, A.2
Marans, C.D.3
-
5
-
-
0033707946
-
Using Bayesian networks to analyze expression data
-
N. Friedman, M. Linial, I. Nachma, and D. Pe'er. Using Bayesian networks to analyze expression data. J. Computational Biology , 7:601-620, 2000.
-
(2000)
J. Computational Biology
, vol.7
, pp. 601-620
-
-
Friedman, N.1
Linial, M.2
Nachma, I.3
Pe'er, D.4
-
8
-
-
3042738945
-
Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data
-
S.Y. Kim , S. Imoto and S. Miyano Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data. Biosystems., 75(1-3):57-65, 2004.
-
(2004)
Biosystems
, vol.75
, Issue.1-3
, pp. 57-65
-
-
Kim, S.Y.1
Imoto, S.2
Miyano, S.3
-
9
-
-
0028482006
-
Learning Bayesian belief networks: An approach based on the MDL principle
-
W. Lam and F. Bacchus Learning Bayesian belief networks: an approach based on the MDL principle. Computational Intelligence., 10(4), 269-293, 1994.
-
(1994)
Computational Intelligence
, vol.10
, Issue.4
, pp. 269-293
-
-
Lam, W.1
Bacchus, F.2
-
10
-
-
33644649220
-
Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling
-
X. Li, S. Rao, W. Jiang, and C. etc. Li. Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling. BMC Bioinformatics, 7(1):7-26, 2006.
-
(2006)
BMC Bioinformatics
, vol.7
, Issue.1
, pp. 7-26
-
-
Li, X.1
Rao, S.2
Jiang, W.3
Li, C.4
-
12
-
-
0344844807
-
Modelling regulatory pathways in e.coli from time series expression profiles
-
I.M. Ong, J.D. Glasner, and D. Page. Modelling regulatory pathways in e.coli from time series expression profiles. Bioinformatics, 18:241-248, 2002.
-
(2002)
Bioinformatics
, vol.18
, pp. 241-248
-
-
Ong, I.M.1
Glasner, J.D.2
Page, D.3
-
13
-
-
18144442687
-
Inferring subnetworks from perturbed expression profiles
-
D. Pe'er, A. Regev, G. Elidan, and N. Friedman. Inferring subnetworks from perturbed expression profiles. Bioinformatics, 17(1):215-224, 2001.
-
(2001)
Bioinformatics
, vol.17
, Issue.1
, pp. 215-224
-
-
Pe'er, D.1
Regev, A.2
Elidan, G.3
Friedman, N.4
-
14
-
-
4143058645
-
Gene networks inference using dynamic bayesian networks
-
B.E. Perrin, L. Ralaivola, and A. Mazurie. Gene networks inference using dynamic bayesian networks. Bioinformatics, 19(2):138-148, 2003.
-
(2003)
Bioinformatics
, vol.19
, Issue.2
, pp. 138-148
-
-
Perrin, B.E.1
Ralaivola, L.2
Mazurie, A.3
-
15
-
-
0035861975
-
Beyond synexpression relationships: Local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions
-
J. Qian, M. Dolled-Filhart, J. Lin, H.Y. Yu and M. Gerstein Beyond synexpression relationships: local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions. J Mol Biol.,314(5):1053-66, 2001.
-
(2001)
J Mol Biol
, vol.314
, Issue.5
, pp. 1053-1066
-
-
Qian, J.1
Dolled-Filhart, M.2
Lin, J.3
Yu, H.Y.4
Gerstein, M.5
-
18
-
-
17944372930
-
Serial regulation of transcriptional regulators in the yeast cell cycle
-
DOI 10.1016/S0092-8674(01)00494-9
-
I. Simon, J. Barnett, N. Hannett, C.T. Harbison, N.J. Ranaldi, T.L. Volkert, and J.J. Wyrick. Serial regulation of transcriptional regulators in the yeast cell cycle. Cell, 106:697-708, Sep 2001. (Pubitemid 32900661)
-
(2001)
Cell
, vol.106
, Issue.6
, pp. 697-708
-
-
Simon, I.1
Barnett, J.2
Hannett, N.3
Harbison, C.T.4
Rinaldi, N.J.5
Volkert, T.L.6
Wyrick, J.J.7
Zeitlinger, J.8
Gifford, D.K.9
Jaakkola, T.S.10
Young, R.A.11
-
19
-
-
12744261506
-
A new dynamic bayesian network (dbn) approach for identifying gene regulatory networks from time course microarray data
-
M. Zou and S.D. Conzen. A new dynamic bayesian network (dbn) approach for identifying gene regulatory networks from time course microarray data. Bioinformatics, 21(1):71-79, 2005.
-
(2005)
Bioinformatics
, vol.21
, Issue.1
, pp. 71-79
-
-
Zou, M.1
Conzen, S.D.2
|