{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T19:10:02Z","timestamp":1738350602061,"version":"3.35.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2008,8,28]],"date-time":"2008-08-28T00:00:00Z","timestamp":1219881600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2008,12]]},"DOI":"10.1186\/1471-2105-9-354","type":"journal-article","created":{"date-parts":[[2008,8,28]],"date-time":"2008-08-28T18:13:39Z","timestamp":1219947219000},"source":"Crossref","is-referenced-by-count":10,"title":["Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration"],"prefix":"10.1186","volume":"9","author":[{"given":"Yulan","family":"Liang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arpad","family":"Kelemen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2008,8,28]]},"reference":[{"key":"2339_CR1","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1136\/bmj.315.7119.1371","volume":"315","author":"M Egger","year":"1997","unstructured":"Egger M, Davey SG, Phillips AN: Meta-analysis: principles and procedures. British Medical Journal 1997, 315: 1371\u20131374.","journal-title":"British Medical Journal"},{"key":"2339_CR2","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1056\/NEJM199708213370810","volume":"337","author":"JC Bailar","year":"1997","unstructured":"Bailar JC: The promise and problems of meta-analysis . New England Journal of Medicine 1997, 337: 559\u201361. 10.1056\/NEJM199708213370810","journal-title":"New England Journal of Medicine"},{"key":"2339_CR3","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1080\/01621459.1983.10477968","volume":"78","author":"WH DuMouchel","year":"1983","unstructured":"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\u2013315. 10.2307\/2288631","journal-title":"Journal of the American Statistical Association"},{"key":"2339_CR4","doi-asserted-by":"publisher","first-page":"2685","DOI":"10.1002\/sim.4780142408","volume":"14","author":"TC Smith","year":"1995","unstructured":"Smith TC, Spiegelhalter DJ, Thomas A: Bayesian approaches to random-effects meta-analysis: a comparative study. Stat Med 1995, 14: 2685\u20132699. 10.1002\/sim.4780142408","journal-title":"Stat Med"},{"key":"2339_CR5","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/s10142-003-0087-5","volume":"3","author":"D Ghosh","year":"2003","unstructured":"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\u2013188. 10.1007\/s10142-003-0087-5","journal-title":"Functional Integrative Genomics"},{"issue":"25","key":"2339_CR6","doi-asserted-by":"publisher","first-page":"9309","DOI":"10.1073\/pnas.0401994101","volume":"101","author":"DR Rhodes","year":"2004","unstructured":"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\u20139314. 10.1073\/pnas.0401994101","journal-title":"Proceedings of National Academy of Science"},{"key":"2339_CR7","first-page":"465","volume-title":"Pac Symp Biocomput","author":"W Pan","year":"2008","unstructured":"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\u2013476."},{"key":"2339_CR8","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1186\/1471-2105-8-80","volume":"8","author":"EM Conlon","year":"2007","unstructured":"Conlon EM, Song JJ, Liu A: Bayesian meta-analysis models for microarray data: a comparative study. BMC Bioinformatics 2007, 8: 80. 10.1186\/1471-2105-8-80","journal-title":"BMC Bioinformatics"},{"key":"2339_CR9","doi-asserted-by":"crossref","first-page":"Article 20","DOI":"10.2202\/1544-6115.1038","volume":"3","author":"Y Liang","year":"2004","unstructured":"Liang Y, Kelemen A: Hierarchical Bayesian Neural Network for Gene Expression Temporal Patterns. Stat Appl Genet Mol Biol 2004, 3: Article 20.","journal-title":"Stat Appl Genet Mol Biol"},{"issue":"4","key":"2339_CR10","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1504\/IJBRA.2005.008443","volume":"1","author":"Y Liang","year":"2005","unstructured":"Liang Y, Kelemen A: Temporal Gene Expression Classification with Regularised Neural Network. International Journal of Bioinformatics Research and Applications 2005, 1(4):399\u2013413. 10.1504\/IJBRA.2005.008443","journal-title":"International Journal of Bioinformatics Research and Applications"},{"issue":"13","key":"2339_CR11","doi-asserted-by":"publisher","first-page":"3009","DOI":"10.1093\/bioinformatics\/bti465","volume":"20","author":"Y Liang","year":"2005","unstructured":"Liang Y, Tayo B, Cai X, Kelemen A: Differential and Trajectory Methods for Time Course Gene Expression Data. Bioinformatics 2005, 20(13):3009\u20133016. 10.1093\/bioinformatics\/bti465","journal-title":"Bioinformatics"},{"key":"2339_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10142-005-0006-z","volume":"6","author":"Y Liang","year":"2006","unstructured":"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\u201313. 10.1007\/s10142-005-0006-z","journal-title":"Journal of Functional and Integrative Genomics"},{"issue":"3","key":"2339_CR13","first-page":"1","volume":"49","author":"Y Liang","year":"2007","unstructured":"Liang Y, Kelemen A: Bayesian State Space Model for Inferring and Predicting Transcription Profiles in Gene Expression. Biometrical Journals 2007, 49(3):1\u201314.","journal-title":"Biometrical Journals"},{"issue":"456","key":"2339_CR14","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1198\/016214501753382129","volume":"96","author":"B Efron","year":"2001","unstructured":"Efron B, Tibshirani R, Goss V, Chu G: Empirical Bayes Analysis of a Microarray Experiment. Journal of American Statistical Association 2001, 96(456):1151\u20131160. 10.1198\/016214501753382129","journal-title":"Journal of American Statistical Association"},{"key":"2339_CR15","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/s10142-003-0085-7","volume":"3","author":"W Pan","year":"2003","unstructured":"Pan W, Lin J: A mixture Model approach to detecting differentially expressed genes with microarray data. Functional and Integrative Genomics 2003, 3: 117\u2013124. 10.1007\/s10142-003-0085-7","journal-title":"Functional and Integrative Genomics"},{"key":"2339_CR16","doi-asserted-by":"publisher","first-page":"2562","DOI":"10.1093\/bioinformatics\/bth285","volume":"20","author":"P Broet","year":"2004","unstructured":"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\u20132571. 10.1093\/bioinformatics\/bth285","journal-title":"Bioinformatics"},{"key":"2339_CR17","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1111\/j.0006-341X.2004.00182.x","volume":"60","author":"G Kauermann","year":"2004","unstructured":"Kauermann G, Eilers P: Modeling Microarray data using a threshold mixture model. Biometrics 2004, 60: 376\u2013387. 10.1111\/j.0006-341X.2004.00182.x","journal-title":"Biometrics"},{"issue":"16","key":"2339_CR18","doi-asserted-by":"publisher","first-page":"2694","DOI":"10.1093\/bioinformatics\/bth310","volume":"20","author":"J Liao","year":"2004","unstructured":"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\u20132701. 10.1093\/bioinformatics\/bth310","journal-title":"Bioinformatics"},{"key":"2339_CR19","volume-title":"Bioinformatics","author":"D Ghosh","year":"2004","unstructured":"Ghosh D: Mixture models for assessing differential expression in complex tissues using microarray data. Bioinformatics 2004. PMID:14988124"},{"key":"2339_CR20","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1517\/phgs.4.6.791.22816","volume":"4","author":"RR Almon","year":"2003","unstructured":"Almon RR, Chen J, Snyder G, DuBois DC, Jusko WJ, Hoffman E: In vivo Multi-Tissue Corticosteroid Microarray Time Series. Pharmacogenomics 2003, 4: 791\u2013799. 10.1517\/phgs.4.6.791.22816","journal-title":"Pharmacogenomics"},{"issue":"1","key":"2339_CR21","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1124\/jpet.103.053256","volume":"307","author":"JY Jin","year":"2003","unstructured":"Jin JY, Almon RR, Dubois DC, Jusko WJ: Modeling of corticosteroid pharmacogenomics in rat liver using gene microarrays. Journal of Pharmaceutical Experiment. Therory 2003, 307(1):93\u2013109. 10.1124\/jpet.103.053256","journal-title":"Journal of Pharmaceutical Experiment. Therory"},{"key":"2339_CR22","doi-asserted-by":"crossref","unstructured":"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):","DOI":"10.1186\/1471-2105-4-27"},{"key":"2339_CR23","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/s10260-005-0121-y","volume":"14","author":"A Agresti","year":"2005","unstructured":"Agresti A, Hitchcock DB: Bayesian Inference for Categorical Data Analysis. Statistical Methods and Applications 2005, 14: 297\u2013330. 10.1007\/s10260-005-0121-y","journal-title":"Statistical Methods and Applications"},{"key":"2339_CR24","volume-title":"Bayesian Statistical Modeling","author":"P Congdon","year":"2002","unstructured":"Congdon P: Bayesian Statistical Modeling. John Wiley & Sons, Ltd; 2002."},{"issue":"458","key":"2339_CR25","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C Fraley","year":"2002","unstructured":"Fraley C, Raftery A: Model-Based Clustering, Discriminant analysis, and Density estimation. Journal of American Statistical Association 2002, 97(458):611\u2013631. 10.1198\/016214502760047131","journal-title":"Journal of American Statistical Association"},{"key":"2339_CR26","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1093\/bioinformatics\/18.3.413","volume":"18","author":"GJ McLachlan","year":"2002","unstructured":"McLachlan GJ, Bean RW, Peel D: A mixture model-based approach to the clustering of microarray expression data. Bioinformatics 2002, 18: 413\u2013422. 10.1093\/bioinformatics\/18.3.413","journal-title":"Bioinformatics"},{"key":"2339_CR27","doi-asserted-by":"publisher","first-page":"1194","DOI":"10.1093\/bioinformatics\/18.9.1194","volume":"18","author":"M Medvedovic","year":"2002","unstructured":"Medvedovic M, Sivaganesan S: Bayesian infinite mixture model based clustering of gene expression profiles. Bioinformatics 2002, 18: 1194\u20131206. 10.1093\/bioinformatics\/18.9.1194","journal-title":"Bioinformatics"},{"key":"2339_CR28","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1093\/bioinformatics\/bti466","volume":"21","author":"AE Teschendorff","year":"2005","unstructured":"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\u20133033. 10.1093\/bioinformatics\/bti466","journal-title":"Bioinformatics"},{"key":"2339_CR29","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1023\/A:1008929526011","volume":"10","author":"DJ Lunn","year":"2000","unstructured":"Lunn DJ, Thomas A, Best N, Spiegelhalter D: WinBUGS \u2013 a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 2000, 10: 325\u2013337. 10.1023\/A:1008929526011","journal-title":"Statistics and Computing"},{"issue":"4","key":"2339_CR30","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1111\/1467-9868.00353","volume":"64","author":"D Spiegelhalter","year":"2002","unstructured":"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\u2013639. 10.1111\/1467-9868.00353","journal-title":"Journal of Royal Statistical Society, B"},{"issue":"3","key":"2339_CR31","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1111\/j.1467-9876.2005.05593.x","volume":"54","author":"KA Do","year":"2005","unstructured":"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\u2013644. 10.1111\/j.1467-9876.2005.05593.x","journal-title":"Journal of the Royal Statistical Society, Series C"},{"issue":"4","key":"2339_CR32","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1093\/biomet\/93.4.877","volume":"93","author":"S Kim","year":"2006","unstructured":"Kim S, Tadesee MG, Vannucci M: Variable selection in clustering via Dirichlet process mixture models. Biometrika 2006, 93(4):877\u2013893. 10.1093\/biomet\/93.4.877","journal-title":"Biometrika"},{"key":"2339_CR33","doi-asserted-by":"publisher","DOI":"10.1002\/0471249688","volume-title":"Categorical data analysis","author":"A Agresti","year":"2002","unstructured":"Agresti A: Categorical data analysis. second edition. John Wiley & Sons, Ltd; 2002.","edition":"second"},{"issue":"4","key":"2339_CR34","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1093\/nar\/gkl013","volume":"34","author":"P Ma","year":"2006","unstructured":"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\u20131269. 10.1093\/nar\/gkl013","journal-title":"Nucleic Acids Research"},{"key":"2339_CR35","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1093\/bioinformatics\/btg014","volume":"19","author":"Y Luan","year":"2003","unstructured":"Luan Y, Li H: Clustering of time-course gene expression data using a mixed-effects model with B-spline. Bioinformatics 2003, 19: 474\u2013482. 10.1093\/bioinformatics\/btg014","journal-title":"Bioinformatics"},{"key":"2339_CR36","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1093\/bioinformatics\/btg413","volume":"20","author":"Y Luan","year":"2004","unstructured":"Luan Y, Li H: Model-based methods for identifying periodically regulated genes based on the time course microarray geneexpression data. Bioinformatics 2004, 20: 332\u2013339. 10.1093\/bioinformatics\/btg413","journal-title":"Bioinformatics"},{"issue":"1","key":"2339_CR37","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R: Regression shrinkage and selection via the lasso. J Royal Statist Soc B 1996, 58(1):267\u2013288.","journal-title":"J Royal Statist Soc B"},{"key":"2339_CR38","first-page":"589","volume":"16","author":"L Wang","year":"2006","unstructured":"Wang L, Zhu J, Zou H: Doubly regularized support vector machine. Statistica Sinica 2006, 16: 589\u2013615.","journal-title":"Statistica Sinica"},{"key":"2339_CR39","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1198\/016214507000000545","volume":"102","author":"W Sun","year":"2007","unstructured":"Sun W, Cai T: Oracle and adaptive compound decision rules for false discovery rate control. J American Statistical Association 2007, 102: 901\u2013912. 10.1198\/016214507000000545","journal-title":"J American Statistical Association"},{"key":"2339_CR40","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1214\/07-SS026","volume":"2","author":"Y Liang","year":"2008","unstructured":"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\u201360. 10.1214\/07-SS026","journal-title":"Statistics Surveys"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-9-354.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1471-2105-9-354\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-9-354.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T18:36:37Z","timestamp":1738348597000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-9-354"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,8,28]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2008,12]]}},"alternative-id":["2339"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-9-354","relation":{},"ISSN":["1471-2105"],"issn-type":[{"type":"electronic","value":"1471-2105"}],"subject":[],"published":{"date-parts":[[2008,8,28]]},"article-number":"354"}}