-
2
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
Alon, U., Barkai, N., Notterman, D., Gish, K., Ybarra, S., Mack, D. and Levine, A. (1999). Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proceedings of the National Academy of Sciences 96, 6745-6750.
-
(1999)
Proceedings of the National Academy of Sciences
, vol.96
, pp. 6745-6750
-
-
Alon, U.1
Barkai, N.2
Notterman, D.3
Gish, K.4
Ybarra, S.5
Mack, D.6
Levine, A.7
-
3
-
-
12344304266
-
Gene selection using a two-level hierarchical Bayesian model
-
Bae, K. and Mallick, B. (2004). Gene selection using a two-level hierarchical Bayesian model. Bioinformatics 20, 3423-3430.
-
(2004)
Bioinformatics
, vol.20
, pp. 3423-3430
-
-
Bae, K.1
Mallick, B.2
-
4
-
-
0034948896
-
A Bayesian framework for the analysis of microarray data: regularized t-test and statistical inferences of gene changes
-
Baldi, P. and Long, A.D. (2001). A Bayesian framework for the analysis of microarray data: regularized t-test and statistical inferences of gene changes. Bioinformatics 17, 509-519.
-
(2001)
Bioinformatics
, vol.17
, pp. 509-519
-
-
Baldi, P.1
Long, A.D.2
-
5
-
-
10244279273
-
Bayesian integrated functional analysis of microarray data
-
Bhattacharjee, M., Pritchard, C.C., Nelson, P.S. and Arjas, E. (2004). Bayesian integrated functional analysis of microarray data. Bioinformatics 20, 2943-2953.
-
(2004)
Bioinformatics
, vol.20
, pp. 2943-2953
-
-
Bhattacharjee, M.1
Pritchard, C.C.2
Nelson, P.S.3
Arjas, E.4
-
6
-
-
84889464278
-
Tail posterior probability for inference in pairwise and multiclass gene expression data
-
Biometrics, in press
-
Bochkina, N. and Richardson, S. (2006). Tail posterior probability for inference in pairwise and multiclass gene expression data. Biometrics, in press.
-
(2006)
-
-
Bochkina, N.1
Richardson, S.2
-
7
-
-
8844236882
-
A mixture model based strategy for selecting sets of genes in multiclass response microarray experiments
-
Broët, P., Lewin, A., Richardson, S., Dalmasso, C. and Magdelenat, H. (2004). A mixture model based strategy for selecting sets of genes in multiclass response microarray experiments. Bioinformatics 20(16), 2562-2571.
-
(2004)
Bioinformatics
, vol.20
, Issue.16
, pp. 2562-2571
-
-
Broët, P.1
Lewin, A.2
Richardson, S.3
Dalmasso, C.4
Magdelenat, H.5
-
8
-
-
0036401627
-
Bayesian hierarchical model for identifying change in gene expression from microarray experiments
-
Broët, P. and Richardson, S. (2006). Bayesian hierarchical model for identifying change in gene expression from microarray experiments. Bioinformatics 9, 671-683.
-
(2006)
Bioinformatics
, vol.9
, pp. 671-683
-
-
Broët, P.1
Richardson, S.2
-
9
-
-
0036401627
-
Bayesian hierarchical model for identifying change in gene expression from microarray experiments
-
Broët, P., Richardson, S. and Radvanyi, F. (2002). Bayesian hierarchical model for identifying change in gene expression from microarray experiments. Journal of Computational Biology 9, 671-683.
-
(2002)
Journal of Computational Biology
, vol.9
, pp. 671-683
-
-
Broët, P.1
Richardson, S.2
Radvanyi, F.3
-
10
-
-
0000857113
-
Multivariate Bayes variable selection and prediction
-
Brown, P., Vannucci, M. and Fearn, T. (1998). Multivariate Bayes variable selection and prediction. Journal of the Royal Statistical Society, Series B 60(3), 627-641.
-
(1998)
Journal of the Royal Statistical Society, Series B
, vol.60
, Issue.3
, pp. 627-641
-
-
Brown, P.1
Vannucci, M.2
Fearn, T.3
-
11
-
-
0036020894
-
Bayes model averaging with selection of regressors
-
Brown, P., Vannucci, M. and Fearn, T. (2002). Bayes model averaging with selection of regressors. Journal of the Royal Statistical Society, Series B 64(3), 519-536.
-
(2002)
Journal of the Royal Statistical Society, Series B
, vol.64
, Issue.3
, pp. 519-536
-
-
Brown, P.1
Vannucci, M.2
Fearn, T.3
-
12
-
-
0003804002
-
Measurement Error in Nonlinear Models
-
Chapman and Hall/CRC
-
Carroll, R.J., Ruppert, D. and Stefanski, L.A. (1995). Measurement Error in Nonlinear Models. Chapman and Hall/CRC.
-
(1995)
-
-
Carroll, R.J.1
Ruppert, D.2
Stefanski, L.A.3
-
14
-
-
0042306266
-
The practical implementation of Bayesian model selection (discussion)
-
Institute of Mathematical Statistics
-
Chipman, H., George, E. and McCulloch, R. (2001). The practical implementation of Bayesian model selection (discussion). Institute of Mathematical Statistics. Lecture Notes-Monograph Series 38, 67-134.
-
(2001)
Lecture Notes-Monograph Series
, vol.38
, pp. 67-134
-
-
Chipman, H.1
George, E.2
McCulloch, R.3
-
15
-
-
0001078433
-
Bayesian model averaging and model search strategies
-
J. Bernardo, J. Berger, A. Dawid and A. Smith, eds, Proceedings of the Sixth Valencia International Meeting. Oxford University Press
-
Clyde, M. (1999). Bayesian model averaging and model search strategies. In Bayesian Statistics 6, J. Bernardo, J. Berger, A. Dawid and A. Smith, eds, Proceedings of the Sixth Valencia International Meeting. Oxford University Press, pp. 157-185.
-
(1999)
Bayesian Statistics
, vol.6
, pp. 157-185
-
-
Clyde, M.1
-
16
-
-
33845756481
-
Model-based clustering for expression data via a dirichlet process mixture model
-
K.-A. Do, P. Müller and M. Vannucci, eds. Cambridge University Press
-
Dahl, D. (2006). Model-based clustering for expression data via a dirichlet process mixture model. In Bayesian Inference for Gene Expression and Proteomics, K.-A. Do, P. Müller and M. Vannucci, eds. Cambridge University Press, pp. 201-218.
-
(2006)
Bayesian Inference for Gene Expression and Proteomics
, pp. 201-218
-
-
Dahl, D.1
-
17
-
-
18444401138
-
A Bayesian mixture model for differential gene expression
-
Do, K., Müller, P. and Tang, F. (2005). A Bayesian mixture model for differential gene expression. Journal of the Royal Statistical Society, Series C 54, 627-644.
-
(2005)
Journal of the Royal Statistical Society, Series C
, vol.54
, pp. 627-644
-
-
Do, K.1
Müller, P.2
Tang, F.3
-
18
-
-
34447534987
-
Bayesian Inference for Gene Expression and Proteomics
-
Cambridge University Press
-
Do, K.-A., Müller, P. and Vannucci, M. (2006). Bayesian Inference for Gene Expression and Proteomics. Cambridge University Press.
-
(2006)
-
-
Do, K.-A.1
Müller, P.2
Vannucci, M.3
-
19
-
-
1542784653
-
Empirical Bayes analysis of a microarray experiment
-
Efron, B., Tibshirani, R., Storey, J.D. and Tusher, V. (2001). Empirical Bayes analysis of a microarray experiment. Journal of the American Statistical Association 96, 1151-1160.
-
(2001)
Journal of the American Statistical Association
, vol.96
, pp. 1151-1160
-
-
Efron, B.1
Tibshirani, R.2
Storey, J.D.3
Tusher, V.4
-
21
-
-
27644557097
-
Genomewide estimation of transcript concentrations from spotted cDNA microarray data
-
Frigessi, A., Van De Wiel, M., Holden, M., Svendsrud, D., Glad, I. and Lyng, H. (2005). Genomewide estimation of transcript concentrations from spotted cDNA microarray data. Nucleic Acids Research 33(17), e143.
-
(2005)
Nucleic Acids Research
, vol.33
, Issue.17
-
-
Frigessi, A.1
Van De Wiel, M.2
Holden, M.3
Svendsrud, D.4
Glad, I.5
Lyng, H.6
-
22
-
-
84889359563
-
Models for probability of under-and overexpression: the POE scale
-
K.-A. Do, P. Müller and M. Vannucci, eds. Cambridge University Press
-
Garrett-Mayer, E. and Scharpf, R. (2006). Models for probability of under-and overexpression: the POE scale. In Bayesian Inference for Gene Expression and Proteomics, K.-A. Do, P. Müller and M. Vannucci, eds. Cambridge University Press, pp. 137-154.
-
(2006)
Bayesian Inference for Gene Expression and Proteomics
, pp. 137-154
-
-
Garrett-Mayer, E.1
Scharpf, R.2
-
24
-
-
0031526204
-
Approaches for Bayesian variable selection
-
George, E. and McCulloch, R. (1997). Approaches for Bayesian variable selection. Statistica Sinica 7, 339-373.
-
(1997)
Statistica Sinica
, vol.7
, pp. 339-373
-
-
George, E.1
McCulloch, R.2
-
25
-
-
29344452713
-
Probabilistic segmentation and intensity estimation for microarray images
-
Gottardo, R., Besag, J., Stephens, M. and Murua, A. (2006a). Probabilistic segmentation and intensity estimation for microarray images. Biostatistics 7(1), 85-99.
-
(2006)
Biostatistics
, vol.7
, Issue.1
, pp. 85-99
-
-
Gottardo, R.1
Besag, J.2
Stephens, M.3
Murua, A.4
-
26
-
-
33645529198
-
Quality control and robust estimation for cDNA microarrays with replicates
-
DOI 10.1198
-
Gottardo, R., Raftery, A.E., Yeung, K.Y. and Bumgarner, R.E. (2006b). Quality control and robust estimation for cDNA microarrays with replicates. Journal of the American Statistical Association 101, DOI 10.1198.
-
(2006)
Journal of the American Statistical Association
, pp. 101
-
-
Gottardo, R.1
Raftery, A.E.2
Yeung, K.Y.3
Bumgarner, R.E.4
-
27
-
-
33645086851
-
Bayesian robust inference for differential gene expression in microarrays with multiple samples
-
Gottardo, R., Raftery, A.E., Yeung, K.Y. and Bumgarner, R.E. (2006c). Bayesian robust inference for differential gene expression in microarrays with multiple samples. Biometrics 62, 10-18.
-
(2006)
Biometrics
, vol.62
, pp. 10-18
-
-
Gottardo, R.1
Raftery, A.E.2
Yeung, K.Y.3
Bumgarner, R.E.4
-
28
-
-
67349234649
-
Alternative prior distributions for variable selection with very many more variables than observations
-
Technical report
-
Griffin, J. and Brown, P. (2005). Alternative prior distributions for variable selection with very many more variables than observations. Technical report. http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic/griffin/personal/vspaper.pdf.
-
(2005)
-
-
Griffin, J.1
Brown, P.2
-
30
-
-
33645507298
-
A quantitative study of gene regulation involved in the immune response of anopheles mosquitoes: an application of Bayesian hierarchical clustering
-
Heard, N.A., Holmes, C.C. and Stephens, D.A. (2006a). A quantitative study of gene regulation involved in the immune response of anopheles mosquitoes: an application of Bayesian hierarchical clustering. Journal of the American Statistical Society 101, 18-29.
-
(2006)
Journal of the American Statistical Society
, vol.101
, pp. 18-29
-
-
Heard, N.A.1
Holmes, C.C.2
Stephens, D.A.3
-
31
-
-
28044449342
-
Bayesian coclustering of anopheles gene expression time series: study of immune defense response to multiple experimental challenges
-
Heard, N.A., Holmes, C.C., Stephens, D.A., Hand, D.J. and Dimopoulos, G. (2006b). Bayesian coclustering of anopheles gene expression time series: study of immune defense response to multiple experimental challenges. Proceedings of the National Academy of Sciences 102, 16939-16944.
-
(2006)
Proceedings of the National Academy of Sciences
, vol.102
, pp. 16939-16944
-
-
Heard, N.A.1
Holmes, C.C.2
Stephens, D.A.3
Hand, D.J.4
Dimopoulos, G.5
-
32
-
-
24644473482
-
BGX: a fully Bayesian gene expression index for Affymetrix GeneChip data
-
Hein, A.-M.K., Richardson, S., Causton, H.C., Ambler, G.K. and Green, P.J. (2005). BGX: a fully Bayesian gene expression index for Affymetrix GeneChip data. Biostatistics 6(3), 349-373.
-
(2005)
Biostatistics
, vol.6
, Issue.3
, pp. 349-373
-
-
Hein, A.-M.K.1
Richardson, S.2
Causton, H.C.3
Ambler, G.K.4
Green, P.J.5
-
33
-
-
33749386597
-
A powerful method for detecting differentially expressed genes from GeneChip arrays with no replicates
-
Hein, A.-M.K. and Richardson, S. (2006). A powerful method for detecting differentially expressed genes from GeneChip arrays with no replicates. BMC Bioinformatics 7, 353.
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 353
-
-
Hein, A.-M.K.1
Richardson, S.2
-
34
-
-
84867151416
-
Bayesian auxiliary variable models for binary and multinomial regression
-
Holmes, C. and Held, L. (2006). Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis 1, 145-168.
-
(2006)
Bayesian Analysis
, vol.1
, pp. 145-168
-
-
Holmes, C.1
Held, L.2
-
35
-
-
84867158337
-
Bayesian identification of differential gene expression induced by metals in human bronchial epithelial cells
-
House, L., Clyde, M. and Huang, Y.-C.T. (2006). Bayesian identification of differential gene expression induced by metals in human bronchial epithelial cells. Bayesian Analysis 1, 105-120.
-
(2006)
Bayesian Analysis
, vol.1
, pp. 105-120
-
-
House, L.1
Clyde, M.2
Huang, Y.-C.T.3
-
36
-
-
0036489048
-
Bayesian models for gene expression with DNA microarray data
-
Ibrahim, J.G., Chen, M.-H.C. and Gray, R.J. (2002). Bayesian models for gene expression with DNA microarray data. Journal of the American Statistical Association 97, 88-99.
-
(2002)
Journal of the American Statistical Association
, vol.97
, pp. 88-99
-
-
Ibrahim, J.G.1
Chen, M.-H.C.2
Gray, R.J.3
-
37
-
-
0042744696
-
Detecting differentially expressed genes in microarrays using Bayesian model selection
-
Ishwaran, H. and Rao, J. (2003). Detecting differentially expressed genes in microarrays using Bayesian model selection. Journal of the American Statistical Association 98, 438-455.
-
(2003)
Journal of the American Statistical Association
, vol.98
, pp. 438-455
-
-
Ishwaran, H.1
Rao, J.2
-
38
-
-
22944460748
-
Spike and slab variable selection: frequentist and Bayesian strategies
-
Ishwaran, H. and Rao, J. (2005a). Spike and slab variable selection: frequentist and Bayesian strategies. Annals of Statistics 33, 730-773.
-
(2005)
Annals of Statistics
, vol.33
, pp. 730-773
-
-
Ishwaran, H.1
Rao, J.2
-
40
-
-
84889399021
-
Population based reversible jump Markov chain Monte Carlo
-
Technical Report, Imperial College
-
Jasra, A., Stephens, D. and Holmes, C. (2006). Population based reversible jump Markov chain Monte Carlo. Technical Report, Imperial College.
-
(2006)
-
-
Jasra, A.1
Stephens, D.2
Holmes, C.3
-
41
-
-
0346888587
-
On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles
-
Kendziorski, C., Newton, M., Lan, H. and Gould, M.N. (2003). On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles. Statistics in Medicine 22, 3899-3914.
-
(2003)
Statistics in Medicine
, vol.22
, pp. 3899-3914
-
-
Kendziorski, C.1
Newton, M.2
Lan, H.3
Gould, M.N.4
-
42
-
-
33845734547
-
Variable selection in clustering via Dirichlet process mixture models
-
Kim, S., Tadesse, M. and Vanucci, M. (2006). Variable selection in clustering via Dirichlet process mixture models. Biometrika 93(4), 877-893.
-
(2006)
Biometrika
, vol.93
, Issue.4
, pp. 877-893
-
-
Kim, S.1
Tadesse, M.2
Vanucci, M.3
-
44
-
-
84889348777
-
Bayesian clustering using a heterogeneous Dirichlet process, with application to parametric gene expression profiles
-
Technical report, University of Bristol
-
Lau, J. and Green, P. (2006b). Bayesian clustering using a heterogeneous Dirichlet process, with application to parametric gene expression profiles. Technical report, University of Bristol.
-
(2006)
-
-
Lau, J.1
Green, P.2
-
45
-
-
12244265090
-
Gene selection: a Bayesian variable selection approach
-
Lee, K., Sha, N., Dougherty, E., Vannucci, M. and Mallick, B. (2003). Gene selection: a Bayesian variable selection approach. Bioinformatics 19(1), 90-97.
-
(2003)
Bioinformatics
, vol.19
, Issue.1
, pp. 90-97
-
-
Lee, K.1
Sha, N.2
Dougherty, E.3
Vannucci, M.4
Mallick, B.5
-
46
-
-
33645059429
-
Bayesian modelling of differential gene expression
-
Lewin, A., Richardson, S., Marshall, C., Glazier, A. and Aitman, T. (2006). Bayesian modelling of differential gene expression. Biometrics 62, 1-9.
-
(2006)
Biometrics
, vol.62
, pp. 1-9
-
-
Lewin, A.1
Richardson, S.2
Marshall, C.3
Glazier, A.4
Aitman, T.5
-
49
-
-
49549125943
-
Sparse statistical modelling in gene expression genomics
-
K.-A. Do, P. Müller and M. Vannucci, eds. Cambridge University Press
-
Lucas, J., Carvalho, C., Wang, Q., Bild, A., Nevins, J. and West, M. (2006). Sparse statistical modelling in gene expression genomics. In Bayesian Inference for Gene Expression and Proteomics, K.-A. Do, P. Müller and M. Vannucci, eds. Cambridge University Press, pp. 155-176.
-
(2006)
Bayesian Inference for Gene Expression and Proteomics
, pp. 155-176
-
-
Lucas, J.1
Carvalho, C.2
Wang, Q.3
Bild, A.4
Nevins, J.5
West, M.6
-
50
-
-
3042686005
-
Bayesian mixture model based clustering of replicated microarray data
-
Medvedovic, M., Yeung, K. and Bumgarner, R. (2004). Bayesian mixture model based clustering of replicated microarray data. Bioinformatics 20, 1222-1232.
-
(2004)
Bioinformatics
, vol.20
, pp. 1222-1232
-
-
Medvedovic, M.1
Yeung, K.2
Bumgarner, R.3
-
52
-
-
41349110333
-
FDR and Bayesian multiple comparison rules
-
J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid, D. Heckerman, A.F.M. Smith and M. West, eds. Oxford University Press
-
Müller, P., Parmigiani, G. and Rice, K. (2007). FDR and Bayesian multiple comparison rules. In Bayesian Statistics 8, J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid, D. Heckerman, A.F.M. Smith and M. West, eds. Oxford University Press.
-
(2007)
Bayesian Statistics
, vol.8
-
-
Müller, P.1
Parmigiani, G.2
Rice, K.3
-
53
-
-
0034923013
-
On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data
-
Newton, M., Kendziorski, C., Richmond, C., Blattner, F. and Tsui, K. (2001). On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data. Journal of Computational Biology 8, 37-52.
-
(2001)
Journal of Computational Biology
, vol.8
, pp. 37-52
-
-
Newton, M.1
Kendziorski, C.2
Richmond, C.3
Blattner, F.4
Tsui, K.5
-
54
-
-
4444235995
-
Detecting differential gene expression with a semiparametric hierarchical mixture model
-
Newton, M., Noueiry, A., Sarkar, D. and Ahlquist, P. (2004). Detecting differential gene expression with a semiparametric hierarchical mixture model. Biostatistics 5, 155-176.
-
(2004)
Biostatistics
, vol.5
, pp. 155-176
-
-
Newton, M.1
Noueiry, A.2
Sarkar, D.3
Ahlquist, P.4
-
55
-
-
0036433548
-
A statistical framework for expression-based molecular classification in cancer
-
Parmigiani, G., Garrett, E., Anbazhagan, R. and Gabrielson, E. (2002). A statistical framework for expression-based molecular classification in cancer. Journal of the Royal Statistical Society, Series B 64, 717-736.
-
(2002)
Journal of the Royal Statistical Society, Series B
, vol.64
, pp. 717-736
-
-
Parmigiani, G.1
Garrett, E.2
Anbazhagan, R.3
Gabrielson, E.4
-
56
-
-
0037047161
-
Cluster analysis of gene expression dynamics
-
Ramoni, M.F., Sebastiani, P. and Kohane, I.S. (2002). Cluster analysis of gene expression dynamics. Proceedings of the National Academy of Sciences 99, 9121-9126.
-
(2002)
Proceedings of the National Academy of Sciences
, vol.99
, pp. 9121-9126
-
-
Ramoni, M.F.1
Sebastiani, P.2
Kohane, I.S.3
-
57
-
-
1142301686
-
A method for normalizing microarrays using genes that are not differentially expressed
-
Reilly, C., Wang, C. and Rutherford, M. (2003). A method for normalizing microarrays using genes that are not differentially expressed. Journal of the American Statistical Association 98, 868-878.
-
(2003)
Journal of the American Statistical Association
, vol.98
, pp. 868-878
-
-
Reilly, C.1
Wang, C.2
Rutherford, M.3
-
58
-
-
18244378520
-
On Bayesian analysis of mixtures with an unknown number of components (with discussion)
-
Richardson, S. and Green, P. (1997). On Bayesian analysis of mixtures with an unknown number of components (with discussion). Journal of the Royal Statistical Society, Series B 59, 731-792.
-
(1997)
Journal of the Royal Statistical Society, Series B
, vol.59
, pp. 731-792
-
-
Richardson, S.1
Green, P.2
-
59
-
-
0034536614
-
Analyzing high-density oligonucleotide gene expression array data
-
Schadt, E., Li, C., Su, C. and Wong, W. (2000). Analyzing high-density oligonucleotide gene expression array data. Journal of Cellular Biochemistry 80, 192-202.
-
(2000)
Journal of Cellular Biochemistry
, vol.80
, pp. 192-202
-
-
Schadt, E.1
Li, C.2
Su, C.3
Wong, W.4
-
60
-
-
0000720609
-
A constructive definition of dirichlet priors
-
Sethurman, J. (1994). A constructive definition of dirichlet priors. Statistica Sinica 4, 639-650.
-
(1994)
Statistica Sinica
, vol.4
, pp. 639-650
-
-
Sethurman, J.1
-
61
-
-
4444239427
-
Bayesian variable selection in multinomial probit models to identify molecular singatures of disease stage
-
Sha, N., Vannucci, M., Tadesse, M., Brown, P., Dragoni, I., Davies, N., Roberts, T., Contestabile, A., Salmon, N., Buckley, C. and Falciani, F. (2004). Bayesian variable selection in multinomial probit models to identify molecular singatures of disease stage. Biometrics 60, 812-819.
-
(2004)
Biometrics
, vol.60
, pp. 812-819
-
-
Sha, N.1
Vannucci, M.2
Tadesse, M.3
Brown, P.4
Dragoni, I.5
Davies, N.6
Roberts, T.7
Contestabile, A.8
Salmon, N.9
Buckley, C.10
Falciani, F.11
-
62
-
-
4544341015
-
Linear models and empirical Bayes methods for assessing differential expression in microarray experiments
-
Article 3
-
Smyth, G.K. (2004). Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology Article 3.
-
(2004)
Statistical Applications in Genetics and Molecular Biology
-
-
Smyth, G.K.1
-
63
-
-
0031742022
-
Comprehensive identification of cell cycle-regulated genes of the yeast saccharomyces cerevisiae by microarray hybridization
-
Spellman, P., Sherlock, G., Zhang, M., Iyer, V., Anders, K., Eisen, M., Brown, P., Botstein, D. and Futcher, B. (1998). Comprehensive identification of cell cycle-regulated genes of the yeast saccharomyces cerevisiae by microarray hybridization. Molecular Biology of the Cell 9, 3273-3297.
-
(1998)
Molecular Biology of the Cell
, vol.9
, pp. 3273-3297
-
-
Spellman, P.1
Sherlock, G.2
Zhang, M.3
Iyer, V.4
Anders, K.5
Eisen, M.6
Brown, P.7
Botstein, D.8
Futcher, B.9
-
64
-
-
20444465712
-
Bayesian variable selection in clustering highdimensional data
-
Tadesse, M., Sha, N. and Vannucci, M. (2005). Bayesian variable selection in clustering highdimensional data. Journal of the American Statistical Association 100, 602-617.
-
(2005)
Journal of the American Statistical Association
, vol.100
, pp. 602-617
-
-
Tadesse, M.1
Sha, N.2
Vannucci, M.3
-
65
-
-
27544450710
-
A fully Bayesian model to cluster gene-expression profiles
-
Vogl, C., Sanchez-Cabo, F., Stocker, G., Hubbard, S. and Wolkenhauer, O. (2005). A fully Bayesian model to cluster gene-expression profiles. Bioinformatics 21, ii130-ii136.
-
(2005)
Bioinformatics
, vol.21
-
-
Vogl, C.1
Sanchez-Cabo, F.2
Stocker, G.3
Hubbard, S.4
Wolkenhauer, O.5
-
66
-
-
27744518228
-
Modelling gene expression data over time: curve clustering with informative prior distributions
-
J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid, D. Heckerman, A.F.M. Smith and M. West, eds. Oxford University Press
-
Wakefield, J.C., Zhou, C. and Self, S.G. (2003). Modelling gene expression data over time: curve clustering with informative prior distributions. In Bayesian Statistics 7, J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid, D. Heckerman, A.F.M. Smith and M. West, eds. Oxford University Press, pp. 721-732.
-
(2003)
Bayesian Statistics
, vol.7
, pp. 721-732
-
-
Wakefield, J.C.1
Zhou, C.2
Self, S.G.3
-
67
-
-
0001541832
-
Bayesian nonparametric inference for distributions and related functions (with discussion)
-
Walker, S., Damine, P., Laud, P. and Smith, A. (1999). Bayesian nonparametric inference for distributions and related functions (with discussion). Journal of the Royal Statistical Society, Series B 61, 485-527.
-
(1999)
Journal of the Royal Statistical Society, Series B
, vol.61
, pp. 485-527
-
-
Walker, S.1
Damine, P.2
Laud, P.3
Smith, A.4
-
68
-
-
0242295767
-
Bayesian factor regression models in the "large p, small n" paradigm
-
J. Bernardo, M. Bayarri, J. Berger, A. Dawid, D. Heckerman, A. Smith and M. West, eds, Proceedings of the Seventh Valencia International Meeting. Oxford University Press
-
West, M. (2003). Bayesian factor regression models in the "large p, small n" paradigm. In Bayesian Statistics 7, J. Bernardo, M. Bayarri, J. Berger, A. Dawid, D. Heckerman, A. Smith and M. West, eds, Proceedings of the Seventh Valencia International Meeting. Oxford University Press, pp. 733-742.
-
(2003)
Bayesian Statistics
, vol.7
, pp. 733-742
-
-
West, M.1
-
69
-
-
33745283400
-
A Bayesian mixture model for partitioning gene expression data
-
Zhou, C. and Wakefield, J.C. (2006). A Bayesian mixture model for partitioning gene expression data. Biometrics 62, 515-525.
-
(2006)
Biometrics
, vol.62
, pp. 515-525
-
-
Zhou, C.1
Wakefield, J.C.2
|