{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T05:27:46Z","timestamp":1740720466859,"version":"3.38.0"},"reference-count":49,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2011,4,1]],"date-time":"2011-04-01T00:00:00Z","timestamp":1301616000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"name":"Spanish Direcci\u00f3n General de Investigaci\u00f3n","award":["TIN2007-66862-C02-02"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2011,4]]},"DOI":"10.1016\/j.patcog.2010.10.016","type":"journal-article","created":{"date-parts":[[2010,10,31]],"date-time":"2010-10-31T08:16:43Z","timestamp":1288513003000},"page":"886-900","source":"Crossref","is-referenced-by-count":13,"title":["Network-based sparse Bayesian classification"],"prefix":"10.1016","volume":"44","author":[{"given":"Jose","family":"Miguel Hern\u00e1ndez-Lobato","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Hern\u00e1ndez-Lobato","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Su\u00e1rez","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2010.10.016_bib1","doi-asserted-by":"crossref","unstructured":"S. Dudoit, J. Fridlyand, Classification in microarray experiments, in: Statistical Analysis of Gene Expression Microarray Data, Chapman & Hall\/CRC, 2003, pp. 93\u2013158.","DOI":"10.1201\/9780203011232.ch3"},{"issue":"1","key":"10.1016\/j.patcog.2010.10.016_bib2","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1002\/mrm.22180","article-title":"Optimization of k-space trajectories for compressed sensing by Bayesian experimental design","volume":"63","author":"Seeger","year":"2010","journal-title":"Magnetic Resonance in Medicine"},{"issue":"1906","key":"10.1016\/j.patcog.2010.10.016_bib3","doi-asserted-by":"crossref","first-page":"4237","DOI":"10.1098\/rsta.2009.0159","article-title":"Statistical challenges of high-dimensional data","volume":"367","author":"Johnstone","year":"2009","journal-title":"Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences"},{"issue":"1","key":"10.1016\/j.patcog.2010.10.016_bib4","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.neuroimage.2008.11.007","article-title":"Machine learning classifiers and fMRI: a tutorial overview","volume":"45","author":"Pereira","year":"2009","journal-title":"NeuroImage"},{"issue":"1","key":"10.1016\/j.patcog.2010.10.016_bib5","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"Journal of the Royal Statistical Society B"},{"key":"10.1016\/j.patcog.2010.10.016_bib6","series-title":"NIPS","first-page":"49","article-title":"1-norm support vector machines","author":"Zhu","year":"2004"},{"key":"10.1016\/j.patcog.2010.10.016_bib7","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"Journal of the Royal Statistical Society B"},{"key":"10.1016\/j.patcog.2010.10.016_bib8","first-page":"759","article-title":"Bayesian inference and optimal design for the sparse linear model","volume":"9","author":"Seeger","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.patcog.2010.10.016_bib9","unstructured":"E.I. George, R.E. McCulloch, Approaches for Bayesian variable selection, Statistica Sinica 7 (2) (1997) 339\u2013373"},{"key":"10.1016\/j.patcog.2010.10.016_bib10","series-title":"ICML","first-page":"761","article-title":"Convex variational bayesian inference for large scale generalized linear models","author":"Nickisch","year":"2009"},{"key":"10.1016\/j.patcog.2010.10.016_bib11","unstructured":"T. Sandler, J. Blitzer, P.P. Talukdar, L.H. Ungar, J. Blitzer, Regularized learning with networks of features, in: NIPS, MIT Press, 2008, pp. 1401\u20131408."},{"issue":"9","key":"10.1016\/j.patcog.2010.10.016_bib12","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1093\/bioinformatics\/btn081","article-title":"Network-constrained regularization and variable selection for analysis of genomic data","volume":"24","author":"Li","year":"2008","journal-title":"Bioinformatics"},{"key":"10.1016\/j.patcog.2010.10.016_bib13","doi-asserted-by":"crossref","unstructured":"M. Slawski, W. zu Castell, G. Tutz, Feature selection guided by structural information, Technical Report 51, Department of Statistics, University of Munich, LMU, 2009.","DOI":"10.1214\/09-AOAS302"},{"issue":"Suppl 1","key":"10.1016\/j.patcog.2010.10.016_bib14","doi-asserted-by":"crossref","first-page":"S21","DOI":"10.1186\/1471-2105-10-S1-S21","article-title":"Network-based support vector machine for classification of microarray samples","volume":"10","author":"Zhu","year":"2009","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/j.patcog.2010.10.016_bib15","series-title":"ICML","first-page":"433","article-title":"Group lasso with overlap and graph lasso","author":"Jacob","year":"2009"},{"issue":"1","key":"10.1016\/j.patcog.2010.10.016_bib16","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.neuroimage.2009.11.064","article-title":"Efficient bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior","volume":"50","author":"van Gerven","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.patcog.2010.10.016_bib17","first-page":"245","article-title":"Bayes point machines","volume":"1","author":"Herbrich","year":"2001","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.patcog.2010.10.016_bib18","unstructured":"T. Minka, A family of algorithms for approximate Bayesian inference, Ph.D. Thesis, MIT, 2001."},{"issue":"10","key":"10.1016\/j.patcog.2010.10.016_bib19","doi-asserted-by":"crossref","first-page":"1466","DOI":"10.1016\/j.patrec.2008.02.022","article-title":"Bayes machines for binary classification","volume":"29","author":"Hern\u00e1ndez-Lobato","year":"2008","journal-title":"Pattern Recognition Letters"},{"year":"2006","series-title":"Pattern Recognition and Machine Learning","author":"Bishop","key":"10.1016\/j.patcog.2010.10.016_bib20"},{"key":"10.1016\/j.patcog.2010.10.016_bib21","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1093\/bioinformatics\/btm129","article-title":"A Markov random field model for network-based analysis of genomic data","volume":"23","author":"Wei","year":"2007","journal-title":"Bioinformatics"},{"key":"10.1016\/j.patcog.2010.10.016_bib22","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1214\/aos\/1176324456","article-title":"Penalized discriminant analysis","volume":"23","author":"Hastie","year":"1995","journal-title":"Annals of Statistics"},{"year":"2001","series-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"Hastie","key":"10.1016\/j.patcog.2010.10.016_bib23"},{"issue":"11","key":"10.1016\/j.patcog.2010.10.016_bib24","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","article-title":"Gradient-based learning applied to document recognition","volume":"86","author":"Lecun","year":"1998","journal-title":"Proceedings of the IEEE"},{"key":"10.1016\/j.patcog.2010.10.016_bib25","doi-asserted-by":"crossref","unstructured":"V.N. Razuvaev, E.B. Apasova, R.A. Martuganov, Daily temperature and precipitation data for 223 former-USSR stations, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee ORNL\/CDIAC-56, 2008","DOI":"10.3334\/CDIAC\/cli.ndp040"},{"key":"10.1016\/j.patcog.2010.10.016_bib26","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1038\/nature08021","article-title":"Genes that mediate breast cancer metastasis to the brain","volume":"459","author":"Bos","year":"2009","journal-title":"Nature"},{"year":"1995","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","key":"10.1016\/j.patcog.2010.10.016_bib27"},{"key":"10.1016\/j.patcog.2010.10.016_bib28","unstructured":"H. Zou, M. Yuan, The F\u221e-norm support vector machine, Statistica Sinica 18 (1) (2008) 379\u2013398"},{"key":"10.1016\/j.patcog.2010.10.016_bib29","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","article-title":"Model selection and estimation in regression with grouped variables","volume":"68","author":"Yuan","year":"2006","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"10.1016\/j.patcog.2010.10.016_bib30","first-page":"375","article-title":"Blockwise sparse regression","volume":"16","author":"Kim","year":"2006","journal-title":"Statistica Sinica"},{"key":"10.1016\/j.patcog.2010.10.016_bib31","series-title":"ICML","first-page":"848","article-title":"The group-lasso for generalized linear models: uniqueness of solutions and efficient algorithms","author":"Roth","year":"2008"},{"issue":"3","key":"10.1016\/j.patcog.2010.10.016_bib32","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1162\/neco.1992.4.3.415","article-title":"Bayesian interpolation","volume":"4","author":"MacKay","year":"1992","journal-title":"Neural Computation"},{"issue":"6","key":"10.1016\/j.patcog.2010.10.016_bib33","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1007\/BF02309013","article-title":"Bayesian invariant measurements of generalization","volume":"2","author":"Zhu","year":"1995","journal-title":"Neural Processing Letters"},{"key":"10.1016\/j.patcog.2010.10.016_bib34","unstructured":"T. Heskes, O. Zoeter, Expectation propagation for approximate inference in dynamic Bayesian networks, in: UAI, 2002, pp. 216\u2013223."},{"issue":"1\u20133","key":"10.1016\/j.patcog.2010.10.016_bib35","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1023\/A:1012487302797","article-title":"Gene selection for cancer classification using support vector machines","volume":"46","author":"Guyon","year":"2002","journal-title":"Machine Learning"},{"key":"10.1016\/j.patcog.2010.10.016_bib36","series-title":"Artificial Intelligence and Applications","first-page":"421","article-title":"A stability index for feature selection","author":"Kuncheva","year":"2007"},{"issue":"3","key":"10.1016\/j.patcog.2010.10.016_bib37","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1145\/275323.275329","article-title":"Algorithm 772: Stripack: Delaunay triangulation and voronoi diagram on the surface of a sphere","volume":"23","author":"Renka","year":"1997","journal-title":"ACM Transactions on Mathematical Software"},{"year":"2009","series-title":"Spatial Modeling Principles in Earth Sciences","author":"Sen","key":"10.1016\/j.patcog.2010.10.016_bib38"},{"key":"10.1016\/j.patcog.2010.10.016_bib39","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1093\/nar\/30.1.207","article-title":"Gene expression omnibus: NCBI gene expression and hybridization array data repository","volume":"1","author":"Edgar","year":"2002","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/j.patcog.2010.10.016_bib40","doi-asserted-by":"crossref","unstructured":"P.A. Futreal, et al., A census of human cancer genes, Nature Reviews Cancer 4 (3) (2004) 177\u2013183","DOI":"10.1038\/nrc1299"},{"key":"10.1016\/j.patcog.2010.10.016_bib41","unstructured":"Pathway Commons, \u3008http:\/\/www.pathwaycommons.org\u3009, 2009."},{"key":"10.1016\/j.patcog.2010.10.016_bib42","doi-asserted-by":"crossref","unstructured":"L.D. Miller, et al., An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival, Proceedings of the National Academy of Sciences USA 102 (38) (2005) 13550\u201313555","DOI":"10.1073\/pnas.0506230102"},{"issue":"3","key":"10.1016\/j.patcog.2010.10.016_bib43","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1093\/bioinformatics\/btg405","article-title":"affy\u2013analysis of affymetrix genechip data at the probe level","volume":"20","author":"Gautier","year":"2004","journal-title":"Bioinformatics"},{"key":"10.1016\/j.patcog.2010.10.016_bib44","doi-asserted-by":"crossref","unstructured":"L. Yu, C. Ding, S. Loscalzo, Stable feature selection via dense feature groups, in: KDD \u201908: Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008, pp. 803\u2013811.","DOI":"10.1145\/1401890.1401986"},{"key":"10.1016\/j.patcog.2010.10.016_bib45","unstructured":"A.C. Haury, L. Jacob, J.P. Vert, Increasing stability and interpretability of gene expression signatures, ArXiv e-prints (arXiv:1001.3109), 2010 pp. 1\u201318."},{"key":"10.1016\/j.patcog.2010.10.016_bib46","doi-asserted-by":"crossref","unstructured":"S. Loscalzo, L. Yu, C. Ding, Consensus group stable feature selection, in: KDD \u201909: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009, pp. 567\u2013576.","DOI":"10.1145\/1557019.1557084"},{"issue":"1","key":"10.1016\/j.patcog.2010.10.016_bib47","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1007\/s10115-006-0040-8","article-title":"Stability of feature selection algorithms: a study on high-dimensional spaces","volume":"12","author":"Kalousis","year":"2007","journal-title":"Knowledge and Information Systems"},{"issue":"5","key":"10.1016\/j.patcog.2010.10.016_bib48","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1080\/02664769300000058","article-title":"Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images","volume":"20","author":"Geman","year":"1993","journal-title":"Journal of Applied Statistics"},{"key":"10.1016\/j.patcog.2010.10.016_bib49","doi-asserted-by":"crossref","unstructured":"R.G. Cowell, A.P. Dawid, P. Sebastiani, A comparison of sequential learning methods for incomplete data, in: Bayesian Statistics, Oxford University Press, vol. 5, 1996, pp. 533\u2013541.","DOI":"10.1093\/oso\/9780198523567.003.0031"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320310005005?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320310005005?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T12:28:05Z","timestamp":1740659285000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320310005005"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,4]]},"references-count":49,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2011,4]]}},"alternative-id":["S0031320310005005"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2010.10.016","relation":{},"ISSN":["0031-3203"],"issn-type":[{"type":"print","value":"0031-3203"}],"subject":[],"published":{"date-parts":[[2011,4]]}}}