-
2
-
-
0030742003
-
The promise and problems of meta-analysis
-
10.1056/NEJM199708213370810 9262502
-
Bailar JC The promise and problems of meta-analysis New England Journal of Medicine 1997, 337:559-61. 10.1056/NEJM199708213370810 9262502
-
(1997)
New England Journal of Medicine
, vol.337
, pp. 559-561
-
-
Bailar, J.C.1
-
3
-
-
0000499514
-
Bayes methods for combining the results of cancer studies in humans and other species
-
10.2307/2288631
-
DuMouchel WH Harris JE Bayes methods for combining the results of cancer studies in humans and other species Journal of the American Statistical Association 1983, 78:293-315. 10.2307/2288631
-
(1983)
Journal of the American Statistical Association
, vol.78
, pp. 293-315
-
-
DuMouchel, W.H.1
Harris, J.E.2
-
4
-
-
0029612242
-
Bayesian approaches to random-effects meta-analysis: A comparative study
-
10.1002/sim.4780142408 8619108
-
Smith TC Spiegelhalter DJ Thomas A Bayesian approaches to random-effects meta-analysis: A comparative study Stat Med 1995, 14:2685-2699. 10.1002/ sim.4780142408 8619108
-
(1995)
Stat Med
, vol.14
, pp. 2685-2699
-
-
Smith, T.C.1
Spiegelhalter, D.J.2
Thomas, A.3
-
5
-
-
1542309545
-
Statistical issues and methods for meta-analysis of microarray data: A case study in prostate cancer
-
10.1007/s10142-003-0087-5 12884057
-
Ghosh D Barette T Rhodes D Statistical issues and methods for meta-analysis of microarray data: A case study in prostate cancer Functional Integrative Genomics 2003, 3:180-188. 10.1007/ s10142-003-0087-5 12884057
-
(2003)
Functional Integrative Genomics
, vol.3
, pp. 180-188
-
-
Ghosh, D.1
Barette, T.2
Rhodes, D.3
-
6
-
-
3042694117
-
Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression
-
10.1073/pnas.0401994101
-
Rhodes DR Yu J Shanker K Deshpande N Varambally R Ghosh D Barrette T Pandey A Chinnaiyan AM Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression Proceedings of National Academy of Science 2004, 101(25):9309-9314. 10.1073/pnas.0401994101
-
(2004)
Proceedings of National Academy of Science
, vol.101
, Issue.25
, pp. 9309-9314
-
-
Rhodes, D.R.1
Yu, J.2
Shanker, K.3
Deshpande, N.4
Varambally, R.5
Ghosh, D.6
Barrette, T.7
Pandey, A.8
Chinnaiyan, A.M.9
-
7
-
-
40549120695
-
A Parametric Joint Model of DNA-Protein Binding, Gene Expression and DNA Sequence Data to Detect Target Genes of a Transcription Factor
-
18229708
-
Pan W Wei W Khodursky A A Parametric Joint Model of DNA-Protein Binding, Gene Expression and DNA Sequence Data to Detect Target Genes of a Transcription Factor Pac Symp Biocomput 2008:465-476. 18229708
-
(2008)
Pac Symp Biocomput
, pp. 465-476
-
-
Pan, W.1
Wei, W.2
Khodursky, A.3
-
8
-
-
34147103409
-
Bayesian meta-analysis models for microarray data: A comparative study
-
1851021 17343745 10.1186/1471-2105-8-80
-
Conlon EM Song JJ Liu A Bayesian meta-analysis models for microarray data: A comparative study BMC Bioinformatics 2007, 8:80. 1851021 17343745 10.1186/1471-2105-8-80
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 80
-
-
Conlon, E.M.1
Song, J.J.2
Liu, A.3
-
9
-
-
18744398140
-
Hierarchical Bayesian Neural Network for Gene Expression Temporal Patterns
-
Article 20
-
Liang Y Kelemen A Hierarchical Bayesian Neural Network for Gene Expression Temporal Patterns Stat Appl Genet Mol Biol 2004, 3. Article 20
-
(2004)
Stat Appl Genet Mol Biol
, vol.3
-
-
Liang, Y.1
Kelemen, A.2
-
10
-
-
38049053725
-
Temporal Gene Expression Classification with Regularised Neural Network
-
10.1504/IJBRA.2005.008443
-
Liang Y Kelemen A Temporal Gene Expression Classification with Regularised Neural Network International Journal of Bioinformatics Research and Applications 2005, 1(4):399-413. 10.1504/IJBRA.2005.008443
-
(2005)
International Journal of Bioinformatics Research and Applications
, vol.1
, Issue.4
, pp. 399-413
-
-
Liang, Y.1
Kelemen, A.2
-
11
-
-
21444457867
-
Differential and Trajectory Methods for Time Course Gene Expression Data
-
10.1093/bioinformatics/bti465
-
Liang Y Tayo B Cai X Kelemen A Differential and Trajectory Methods for Time Course Gene Expression Data Bioinformatics 2005, 20(13):3009-3016. 10.1093/bioinformatics/bti465
-
(2005)
Bioinformatics
, vol.20
, Issue.13
, pp. 3009-3016
-
-
Liang, Y.1
Tayo, B.2
Cai, X.3
Kelemen, A.4
-
12
-
-
29544434311
-
Associating phenotypes with molecular events: A review of statistical advances and challenges underpinning microarray analyses
-
10.1007/s10142-005-0006-z
-
Liang Y Kelemen A Associating phenotypes with molecular events: A review of statistical advances and challenges underpinning microarray analyses Journal of Functional and Integrative Genomics 2006, 6:1-13. 10.1007/ s10142-005-0006-z
-
(2006)
Journal of Functional and Integrative Genomics
, vol.6
, pp. 1-13
-
-
Liang, Y.1
Kelemen, A.2
-
13
-
-
84886757216
-
Bayesian State Space Model for Inferring and Predicting Transcription Profiles in Gene Expression
-
Liang Y Kelemen A Bayesian State Space Model for Inferring and Predicting Transcription Profiles in Gene Expression Biometrical Journals 2007, 49(3):1-14.
-
(2007)
Biometrical Journals
, vol.49
, Issue.3
, pp. 1-14
-
-
Liang, Y.1
Kelemen, A.2
-
15
-
-
2142854576
-
A mixture Model approach to detecting differentially expressed genes with microarray data
-
10.1007/s10142-003-0085-7
-
Pan W Lin J A mixture Model approach to detecting differentially expressed genes with microarray data Functional and Integrative Genomics 2003, 3:117-124. 10.1007/s10142-003-0085-7
-
(2003)
Functional and Integrative Genomics
, vol.3
, pp. 117-124
-
-
Pan, W.1
Lin, J.2
-
16
-
-
8844236882
-
A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments
-
10.1093/bioinformatics/bth285 15117756
-
Broet P Lewin A Richardson S Dalmasso C Magdelenat H A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments Bioinformatics 2004, 20:2562-2571. 10.1093/ bioinformatics/bth285 15117756
-
(2004)
Bioinformatics
, vol.20
, pp. 2562-2571
-
-
Broet, P.1
Lewin, A.2
Richardson, S.3
Dalmasso, C.4
Magdelenat, H.5
-
17
-
-
2942651196
-
Modeling Microarray data using a threshold mixture model
-
10.1111/j.0006-341X.2004.00182.x 15180663
-
Kauermann G Eilers P Modeling Microarray data using a threshold mixture model Biometrics 2004, 60:376-387. 10.1111/j.0006-341X.2004.00182.x 15180663
-
(2004)
Biometrics
, vol.60
, pp. 376-387
-
-
Kauermann, G.1
Eilers, P.2
-
18
-
-
8844258766
-
A mixture Model approach for estimating the local false discovery rate in DNA microarray analysis
-
10.1093/bioinformatics/bth310 15145810
-
Liao J Lian Y Selvanayagam Z Shih W A mixture Model approach for estimating the local false discovery rate in DNA microarray analysis Bioinformatics 2004, 20(16):2694-2701. 10.1093/bioinformatics/bth310 15145810
-
(2004)
Bioinformatics
, vol.20
, Issue.16
, pp. 2694-2701
-
-
Liao, J.1
Lian, Y.2
Selvanayagam, Z.3
Shih, W.4
-
19
-
-
4444305034
-
Mixture models for assessing differential expression in complex tissues using microarray data
-
PMID:14988124 14988124
-
Ghosh D Mixture models for assessing differential expression in complex tissues using microarray data Bioinformatics 2004. PMID:14988124 14988124
-
(2004)
Bioinformatics
-
-
Ghosh, D.1
-
22
-
-
0442321087
-
Reproducibility of gene expression across generations of Affymetrix microarrays
-
165600 12823866
-
Nimgaonkar A Sanoudou D Butte AJ Haslett JN Kunkel LM Beggs AH Kohane IS Reproducibility of gene expression across generations of Affymetrix microarrays Bioinformatics 2003, 4(27). 165600 12823866
-
(2003)
Bioinformatics
, vol.4
, Issue.27
-
-
Nimgaonkar, A.1
Sanoudou, D.2
Butte, A.J.3
Haslett, J.N.4
Kunkel, L.M.5
Beggs, A.H.6
Kohane, I.S.7
-
23
-
-
28944434535
-
Bayesian Inference for Categorical Data Analysis
-
10.1007/s10260-005-0121-y
-
Agresti A Hitchcock DB Bayesian Inference for Categorical Data Analysis Statistical Methods and Applications 2005, 14:297-330. 10.1007/ s10260-005-0121-y
-
(2005)
Statistical Methods and Applications
, vol.14
, pp. 297-330
-
-
Agresti, A.1
Hitchcock, D.B.2
-
25
-
-
0035998835
-
Model-Based Clustering, Discriminant analysis, and Density estimation
-
10.1198/016214502760047131
-
Fraley C Raftery A Model-Based Clustering, Discriminant analysis, and Density estimation Journal of American Statistical Association 2002, 97(458):611-631. 10.1198/016214502760047131
-
(2002)
Journal of American Statistical Association
, vol.97
, Issue.458
, pp. 611-631
-
-
Fraley, C.1
Raftery, A.2
-
26
-
-
0036203115
-
A mixture model-based approach to the clustering of microarray expression data
-
10.1093/bioinformatics/18.3.413 11934740
-
McLachlan GJ Bean RW Peel D A mixture model-based approach to the clustering of microarray expression data Bioinformatics 2002, 18:413-422. 10.1093/bioinformatics/18.3.413 11934740
-
(2002)
Bioinformatics
, vol.18
, pp. 413-422
-
-
McLachlan, G.J.1
Bean, R.W.2
Peel, D.3
-
27
-
-
0036739286
-
Bayesian infinite mixture model based clustering of gene expression profiles
-
10.1093/bioinformatics/18.9.1194 12217911
-
Medvedovic M Sivaganesan S Bayesian infinite mixture model based clustering of gene expression profiles Bioinformatics 2002, 18:1194-1206. 10.1093/bioinformatics/18.9.1194 12217911
-
(2002)
Bioinformatics
, vol.18
, pp. 1194-1206
-
-
Medvedovic, M.1
Sivaganesan, S.2
-
28
-
-
21444450507
-
A variational bayesian mixture modelling framework for cluster analysis of gene-expression data
-
10.1093/bioinformatics/bti466 15860564
-
Teschendorff AE Wang Y Barbosa-Morais NL Brenton JD Caldas C A variational bayesian mixture modelling framework for cluster analysis of gene-expression data Bioinformatics 2005, 21:3025-3033. 10.1093/ bioinformatics/bti466 15860564
-
(2005)
Bioinformatics
, vol.21
, pp. 3025-3033
-
-
Teschendorff, A.E.1
Wang, Y.2
Barbosa-Morais, N.L.3
Brenton, J.D.4
Caldas, C.5
-
29
-
-
0006407254
-
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
-
10.1023/A:1008929526011
-
Lunn DJ Thomas A Best N Spiegelhalter D WinBUGS - a Bayesian modelling framework: Concepts, structure, and extensibility Statistics and Computing 2000, 10:325-337. 10.1023/A:1008929526011
-
(2000)
Statistics and Computing
, vol.10
, pp. 325-337
-
-
Lunn, D.J.1
Thomas, A.2
Best, N.3
Spiegelhalter, D.4
-
30
-
-
0036435040
-
Bayesian measures of model complexity and fit
-
10.1111/1467-9868.00353
-
Spiegelhalter D Best N Carlin B Linde A Bayesian measures of model complexity and fit Journal of Royal Statistical Society, B 2002, 64(4):583-639. 10.1111/1467-9868.00353
-
(2002)
Journal of Royal Statistical Society, B
, vol.64
, Issue.4
, pp. 583-639
-
-
Spiegelhalter, D.1
Best, N.2
Carlin, B.3
Linde, A.4
-
31
-
-
18444401138
-
Bayesian mixture model for differential gene expression
-
10.1111/j.1467-9876.2005.05593.x
-
Do KA Muller P Tang F Bayesian mixture model for differential gene expression Journal of the Royal Statistical Society, Series C 2005, 54(3):627-644. 10.1111/j.1467-9876.2005.05593.x
-
(2005)
Journal of the Royal Statistical Society, Series C
, vol.54
, Issue.3
, pp. 627-644
-
-
Do, K.A.1
Muller, P.2
Tang, F.3
-
32
-
-
33845734547
-
Variable selection in clustering via Dirichlet process mixture models
-
10.1093/biomet/93.4.877
-
Kim S Tadesee MG Vannucci M Variable selection in clustering via Dirichlet process mixture models Biometrika 2006, 93(4):877-893. 10.1093/ biomet/93.4.877
-
(2006)
Biometrika
, vol.93
, Issue.4
, pp. 877-893
-
-
Kim, S.1
Tadesee, M.G.2
Vannucci, M.3
-
34
-
-
33644855951
-
A data-driven clustering method for time course gene expression data
-
1388097 16510852 10.1093/nar/gkl013
-
Ma P Castillo-Davis CI Zhong W Liu JS A data-driven clustering method for time course gene expression data Nucleic Acids Research 2006, 34(4):1261-1269. 1388097 16510852 10.1093/nar/gkl013
-
(2006)
Nucleic Acids Research
, vol.34
, Issue.4
, pp. 1261-1269
-
-
Ma, P.1
Castillo-Davis, C.I.2
Zhong, W.3
Liu, J.S.4
-
35
-
-
0037339264
-
Clustering of time-course gene expression data using a mixed-effects model with B-spline
-
10.1093/bioinformatics/btg014 12611802
-
Luan Y Li H Clustering of time-course gene expression data using a mixed-effects model with B-spline Bioinformatics 2003, 19:474-482. 10.1093/bioinformatics/btg014 12611802
-
(2003)
Bioinformatics
, vol.19
, pp. 474-482
-
-
Luan, Y.1
Li, H.2
-
36
-
-
1342288029
-
Model-based methods for identifying periodically regulated genes based on the time course microarray geneexpression data
-
10.1093/bioinformatics/btg413 14960459
-
Luan Y Li H Model-based methods for identifying periodically regulated genes based on the time course microarray geneexpression data Bioinformatics 2004, 20:332-339. 10.1093/bioinformatics/btg413 14960459
-
(2004)
Bioinformatics
, vol.20
, pp. 332-339
-
-
Luan, Y.1
Li, H.2
-
37
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
Tibshirani R Regression shrinkage and selection via the lasso J Royal Statist Soc B 1996, 58(1):267-288.
-
(1996)
J Royal Statist Soc B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
38
-
-
33746154240
-
Doubly regularized support vector machine
-
Wang L Zhu J Zou H Doubly regularized support vector machine Statistica Sinica 2006, 16:589-615.
-
(2006)
Statistica Sinica
, vol.16
, pp. 589-615
-
-
Wang, L.1
Zhu, J.2
Zou, H.3
-
39
-
-
35348872772
-
Oracle and adaptive compound decision rules for false discovery rate control
-
10.1198/016214507000000545
-
Sun W Cai T Oracle and adaptive compound decision rules for false discovery rate control J American Statistical Association 2007, 102:901-912. 10.1198/016214507000000545
-
(2007)
J American Statistical Association
, vol.102
, pp. 901-912
-
-
Sun, W.1
Cai, T.2
-
40
-
-
55449095941
-
Statistical Advances and Challenges for Analyzing Correlated High Dimensional SNP Data in Genomic Study for Complex Diseases
-
10.1214/07-SS026
-
Liang Y Kelemen A Statistical Advances and Challenges for Analyzing Correlated High Dimensional SNP Data in Genomic Study for Complex Diseases Statistics Surveys 2008, 2:43-60. 10.1214/07-SS026
-
(2008)
Statistics Surveys
, vol.2
, pp. 43-60
-
-
Liang, Y.1
Kelemen, A.2
|