{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T10:04:36Z","timestamp":1767261876832,"version":"3.37.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2010,1,15]],"date-time":"2010-01-15T00:00:00Z","timestamp":1263513600000},"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":[[2010,12]]},"DOI":"10.1186\/1471-2105-11-32","type":"journal-article","created":{"date-parts":[[2010,1,15]],"date-time":"2010-01-15T19:15:49Z","timestamp":1263582949000},"source":"Crossref","is-referenced-by-count":5,"title":["The identification of informative genes from multiple datasets with increasing complexity"],"prefix":"10.1186","volume":"11","author":[{"given":"S Yahya","family":"Anvar","sequence":"first","affiliation":[]},{"given":"Peter AC","family":"'t Hoen","sequence":"additional","affiliation":[]},{"given":"Allan","family":"Tucker","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,1,15]]},"reference":[{"key":"3489_CR1","doi-asserted-by":"publisher","first-page":"1227","DOI":"10.1093\/bioinformatics\/btg147","volume":"19","author":"J Bockhorst","year":"2003","unstructured":"Bockhorst J, Craven M, Page D, Shavlik J, Glasner J: A Bayesian approach to operon prediction. Bioinformatics 2003, 19: 1227\u20131235. 10.1093\/bioinformatics\/btg147","journal-title":"Bioinformatics"},{"key":"3489_CR2","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1038\/ng1165","volume":"34","author":"E Segal","year":"2003","unstructured":"Segal E, Shapira M, Regev A, Pe'er D, Botstein D, Koller D, Friedman N: Module networks: identifying regulatory modules and their condition specific regulators from gene expression data. Nature Genetics 2003, 34: 166\u2013176. 10.1038\/ng1165","journal-title":"Nature Genetics"},{"key":"3489_CR3","first-page":"127","volume-title":"Proceeding of the 4th International Conference on Computational Molecular Biology","author":"N Friedman","year":"2000","unstructured":"Friedman N, Linial M, Nachman I, Pe'er D: Using Bayesian networks to analyze expression data. Proceeding of the 4th International Conference on Computational Molecular Biology 2000, 127\u2013135."},{"key":"3489_CR4","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.febslet.2004.11.019","volume":"587","author":"X Xu","year":"2004","unstructured":"Xu X, Wang L, Ding D: Learning module networks from genome-wide location and expression data. FEBS Letters 2004, 587: 297\u2013304. 10.1016\/j.febslet.2004.11.019","journal-title":"FEBS Letters"},{"key":"3489_CR5","first-page":"46","volume":"69","author":"D Grossman","year":"2004","unstructured":"Grossman D, Domingos P: Learning Bayesian network classifiers by maximizing conditional likelihood. Proceedings of the 21st International Conference on Machine Learning 2004, 69: 46\u201354.","journal-title":"Proceedings of the 21st International Conference on Machine Learning"},{"key":"3489_CR6","doi-asserted-by":"publisher","first-page":"2295","DOI":"10.1016\/j.patrec.2005.04.005","volume":"26","author":"JM Pe\u00f1a","year":"2005","unstructured":"Pe\u00f1a JM, Bj\u00f6rkegren J, Tegn\u00e9r : Learning dynamic Bayesian network models via cross-validation. Pattern Recognition Letters 2005, 26: 2295\u20132308. 10.1016\/j.patrec.2005.04.005","journal-title":"Pattern Recognition Letters"},{"key":"3489_CR7","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/0004-3702(86)90072-X","volume":"29","author":"J Pearl","year":"1986","unstructured":"Pearl J: Fusion, propagation, and structuring in belief networks. Artificial Intelligence 1986, 29: 241\u2013288. 10.1016\/0004-3702(86)90072-X","journal-title":"Artificial Intelligence"},{"key":"3489_CR8","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/69.494161","volume":"8","author":"WL Buntine","year":"1996","unstructured":"Buntine WL: A guide to the literature on learning probabilistic networks from data. IEEE Transactions on Knowledge and Data Engineering 1996, 8: 195\u2013210. 10.1109\/69.494161","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"3489_CR9","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/978-94-011-5014-9_11","volume-title":"Learning in graphical models","author":"D Heckerman","year":"1998","unstructured":"Heckerman D: A tutorial on learning with Bayesian networks. In Learning in graphical models. Edited by: Jordan MI. Dordrecht: Kluwer Academic Publishers; 1998:301."},{"key":"3489_CR10","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1023\/A:1020249912095","volume":"50","author":"N Friedman","year":"2003","unstructured":"Friedman N, Koller D: Being Bayesian about network Structure. A Bayesian approach to structure discovery in Bayesian networks. Machine Learning 2003, 50: 95\u2013125. 10.1023\/A:1020249912095","journal-title":"Machine Learning"},{"key":"3489_CR11","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N Friedman","year":"1997","unstructured":"Friedman N, Geiger D, Goldszmidt M: Bayesian network classifiers. Machine Learning 1997, 29: 131\u2013163. 10.1023\/A:1007465528199","journal-title":"Machine Learning"},{"key":"3489_CR12","first-page":"86","volume-title":"Cluster and classification techniques for the Biosciences","author":"AH Fielding","year":"2007","unstructured":"Fielding AH: Introduction to classification. In Cluster and classification techniques for the Biosciences. 1st edition. Cambridge: Cambridge University Press; 2007:86.","edition":"1"},{"key":"3489_CR13","doi-asserted-by":"publisher","first-page":"S164","DOI":"10.1093\/bioinformatics\/18.suppl_1.S164","volume":"18","author":"JB Tobler","year":"2002","unstructured":"Tobler JB, Molla MN, Nuwaysir EF, Green RD, Shavlik JW: Evaluating machine learning approaches for aiding probe selection for gene-expression arrays. Bioinformatics 2002, 18: S164-S171.","journal-title":"Bioinformatics"},{"key":"3489_CR14","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1974.tb00994.x","volume":"36","author":"M Stone","year":"1974","unstructured":"Stone M: Cross-validatory choice and assessment of statistical predictions (with discussion). Journal of the Royal Statistical Society B 1974, 36: 111\u2013147.","journal-title":"Journal of the Royal Statistical Society B"},{"key":"3489_CR15","volume-title":"PhD thesis","author":"R Kohavi","year":"1995","unstructured":"Kohavi R: Wrapper for performance enhancement and oblivious decision graphs. PhD thesis. Stanford University, Computer Science Department; 1995."},{"key":"3489_CR16","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1186\/1471-2105-7-43","volume":"7","author":"TVan den Bulcke","year":"2006","unstructured":"Bulcke T, Van Leemput K, Naudts B, Van Remortel P, Ma H, Verschoren A, De Moor B, Marchal K: SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinformatics 2006, 7: 43. 10.1186\/1471-2105-7-43","journal-title":"BMC Bioinformatics"},{"key":"3489_CR17","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1109\/TCBB.2006.42","volume":"3","author":"C Zhang","year":"2006","unstructured":"Zhang C, Lu X, Zhang X: Significance of gene ranking for classification of microarray samples. IEEE Transactions on Computational Biology and Bioinformatics 2006, 3: 312\u2013320. 10.1109\/TCBB.2006.42","journal-title":"IEEE Transactions on Computational Biology and Bioinformatics"},{"key":"3489_CR18","first-page":"897","volume":"148","author":"J Su","year":"2006","unstructured":"Su J, Zhang H: Full Bayesian network classifiers. Proceedings of the 23rd International Conference on Machine Learning 2006, 148: 897\u2013904. full_text","journal-title":"Proceedings of the 23rd International Conference on Machine Learning"},{"key":"3489_CR19","first-page":"1287","volume":"5","author":"DM Chickering","year":"2004","unstructured":"Chickering DM, Heckerman D, Meek C: Large-sample learning of Bayesian networks is NP-Hard. Machine Learning Research 2004, 5: 1287\u20131330.","journal-title":"Machine Learning Research"},{"key":"3489_CR20","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz G: Estimating the dimension of a model. The Annals of Statistics 1978, 6: 461\u2013464. 10.1214\/aos\/1176344136","journal-title":"The Annals of Statistics"},{"key":"3489_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.1467-8640.1994.tb00166.x","volume":"10","author":"W Lam","year":"1994","unstructured":"Lam W, Bacchus F: Learning Bayesian belief networks (an approach based on the MDL principle). Computational Intelligence 1994, 10: 1\u201331. 10.1111\/j.1467-8640.1994.tb00166.x","journal-title":"Computational Intelligence"},{"key":"3489_CR22","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1038\/sj.emboj.7600958","volume":"25","author":"Y Cao","year":"2006","unstructured":"Cao Y, Kumar RM, Penn BH, Berkes CA, Kooperberg C, Boyer LA, Young RA, Tapscott SJ: Global and gene-specific analyses show distinct roles of Myod and Myog at a common set of promoters. The EMBO Journal 2006, 25: 502\u2013511. 10.1038\/sj.emboj.7600958","journal-title":"The EMBO Journal"},{"key":"3489_CR23","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1016\/S1534-5807(04)00107-8","volume":"6","author":"S Iezzi","year":"2004","unstructured":"Iezzi S, Di Padova M, Serra C, Caretti G, Simone C, Maklan E, Minetti G, Zhao P, Hoffman EP, Puri PL, Sartorelli V: Deacetylase inhibitors increase muscle cell size by promoting Myoblast recruitment and fusion through induction of Follistatin. Developmental Cell 2004, 6: 673\u2013684. 10.1016\/S1534-5807(04)00107-8","journal-title":"Developmental Cell"},{"key":"3489_CR24","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1096\/fj.03-0568fje","volume":"18","author":"KK Tomczak","year":"2004","unstructured":"Tomczak KK, Marinescu VD, Ramoni MF, Sanoudou D, Montanaro F, Han M, Kunkel LM, Kohane IS, Beggs AH: Expression profiling and identification of novel genes involved in myogenic differentiation. The FASEB Journal 2004, 18: 403\u2013405.","journal-title":"The FASEB Journal"},{"key":"3489_CR25","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1093\/biostatistics\/4.2.249","volume":"4","author":"RA Irizarry","year":"2003","unstructured":"Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP: Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 2003, 4: 249\u2013264. 10.1093\/biostatistics\/4.2.249","journal-title":"Biostatistics"},{"key":"3489_CR26","volume-title":"Computing Science and Statistics: Proceedings of the Interface","author":"KP Murphy","year":"2001","unstructured":"Murphy KP: The Bayes net toolbox for Matlab. Computing Science and Statistics: Proceedings of the Interface 2001., 33:"},{"key":"3489_CR27","doi-asserted-by":"publisher","first-page":"R96","DOI":"10.1186\/gb-2008-9-6-r96","volume":"9","author":"R Jelier","year":"2008","unstructured":"Jelier R, Schuemie MJ, Veldhoven A, Dorssers LC, Jenster G, Kors JA: Anni 2.0: a multipurpose text-mining tool for the life sciences. Genome Biology 2008, 9: R96. 10.1186\/gb-2008-9-6-r96","journal-title":"Genome Biology"},{"key":"3489_CR28","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1093\/bioinformatics\/btp068","volume":"25","author":"BC Haynes","year":"2009","unstructured":"Haynes BC, Brent MR: Benchmarking regulatory network reconstruction with GRENDEL. Bioinformatics 2009, 25: 801\u2013807. 10.1093\/bioinformatics\/btp068","journal-title":"Bioinformatics"},{"key":"3489_CR29","doi-asserted-by":"publisher","first-page":"6643","DOI":"10.1093\/nar\/gkh1009","volume":"32","author":"H Ma","year":"2004","unstructured":"Ma H, Kumar B, Ditges U, Gunzer F, Buer J, Zeng A: An extended transcriptional regulatory network of Escherichia coli and analysis of its hierarchical structure and network motifs. Nucleic Acids Res 2004, 32: 6643\u20136649. 10.1093\/nar\/gkh1009","journal-title":"Nucleic Acids Res"},{"key":"3489_CR30","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1186\/1471-2105-7-333","volume":"7","author":"M Miron","year":"2006","unstructured":"Miron M, Woody OZ, Marcil A, Murie C, Sladek R, Nadon R: A methodology for global validation of microarray experiments. BMC Bioinformatics 2006, 7: 333. 10.1186\/1471-2105-7-333","journal-title":"BMC Bioinformatics"},{"key":"3489_CR31","first-page":"4427","volume":"62","author":"DR Rhodes","year":"2002","unstructured":"Rhodes DR, Barrette TR, Rubin MA, Ghosh D, Chinnaiyan AM: Meta-Analysis of Microarrays: Interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer. Cancer Research 2002, 62: 4427\u20134433.","journal-title":"Cancer Research"},{"key":"3489_CR32","doi-asserted-by":"publisher","first-page":"S23","DOI":"10.1186\/1471-2105-10-S1-S23","volume":"10","author":"Y Lai","year":"2009","unstructured":"Lai Y, Eckenrode SE, She J: A statistical framework for integrating two microarray data sets in differential expression analysis. BMC Bioinformatics 2009, 10: S23. 10.1186\/1471-2105-10-S1-S23","journal-title":"BMC Bioinformatics"},{"key":"3489_CR33","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1023\/A:1008985925162","volume":"9","author":"R Mac Nally","year":"2000","unstructured":"Mac Nally R: Regression and model-building in conservation biology, biogeography and ecology: the distinction between - and reconciliation of - 'predictive' and 'explanatory' models. Biodiversity and Conservation 2000, 9: 655\u2013671. 10.1023\/A:1008985925162","journal-title":"Biodiversity and Conservation"},{"key":"3489_CR34","doi-asserted-by":"publisher","first-page":"1535","DOI":"10.1080\/01621459.1994.10476894","volume":"89","author":"D Madigan","year":"1994","unstructured":"Madigan D, Raftery AE: Model selection and accounting for model uncertainty in graphical models using Occam's window. Journal of the American Statistical Association 1994, 89: 1535\u20131546. 10.2307\/2291017","journal-title":"Journal of the American Statistical Association"},{"key":"3489_CR35","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1038\/ng881","volume":"31","author":"SS Shen-Orr","year":"2002","unstructured":"Shen-Orr SS, Milo R, Mangan S, Alon U: Network motifs in the transcriptional regulation network of Escherichia coli. Nature Genetics 2002, 31: 64\u201368. 10.1038\/ng881","journal-title":"Nature Genetics"},{"key":"3489_CR36","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1126\/science.1075090","volume":"298","author":"TI Lee","year":"2002","unstructured":"Lee TI, Rinaldi NJ, Robert F, Odom DT, Bar-Joseph Z, Gerber GK, Hannett NM, Harbison CT, Thompson CM, Simon I, Zeitlinger J, Jennings EG, Murray HL, Gordon DB, Ren B, Wyrick JJ, Tagne JB, Volkert TL, Fraenkel E, Gifford DK, Young RA: Transcriptional regulatory networks in Saccharomyces cereviciae. Science 2002, 298: 799\u2013804. 10.1126\/science.1075090","journal-title":"Science"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-11-32.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1471-2105-11-32\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-11-32.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,16]],"date-time":"2025-02-16T19:53:56Z","timestamp":1739735636000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-11-32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,1,15]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2010,12]]}},"alternative-id":["3489"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-11-32","relation":{},"ISSN":["1471-2105"],"issn-type":[{"type":"electronic","value":"1471-2105"}],"subject":[],"published":{"date-parts":[[2010,1,15]]},"article-number":"32"}}