{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:07:17Z","timestamp":1774415237201,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2014,8,4]],"date-time":"2014-08-04T00:00:00Z","timestamp":1407110400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1007\/s11222-014-9498-5","type":"journal-article","created":{"date-parts":[[2014,8,3]],"date-time":"2014-08-03T05:51:18Z","timestamp":1407045078000},"page":"1129-1141","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":179,"title":["A fast unified algorithm for solving group-lasso penalize learning problems"],"prefix":"10.1007","volume":"25","author":[{"given":"Yi","family":"Yang","sequence":"first","affiliation":[]},{"given":"Hui","family":"Zou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,8,4]]},"reference":[{"issue":"12","key":"9498_CR1","doi-asserted-by":"crossref","first-page":"6745","DOI":"10.1073\/pnas.96.12.6745","volume":"96","author":"U Alon","year":"1999","unstructured":"Alon, U., Barkai, N., Notterman, D., Gish, K., Ybarra, S., Mack, D., Levine, A.: Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Nat. Acad. Sci. 96(12), 6745 (1999)","journal-title":"Proc. Nat. Acad. Sci."},{"key":"9498_CR2","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1002\/cpa.20042","volume":"57","author":"I Daubechies","year":"2004","unstructured":"Daubechies, I., Defrise, M., De Mol, C.: An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Commun. Pure Appl. Math. 57, 1413\u20131457 (2004)","journal-title":"Commun. Pure Appl. Math."},{"issue":"2","key":"9498_CR3","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron, B., Hastie, T., Johnstone, I., Tibshirani, R.: Least angle regression. Ann. Stat. 32(2), 407\u2013451 (2004)","journal-title":"Ann. Stat."},{"key":"9498_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v033.i01","volume":"33","author":"J Friedman","year":"2010","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Regularized paths for generalized linear models via coordinate descent. J. Stat. Softw. 33, 1\u201322 (2010)","journal-title":"J. Stat. Softw."},{"issue":"3","key":"9498_CR5","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1080\/10618600.1998.10474784","volume":"7","author":"W Fu","year":"1998","unstructured":"Fu, W.: Penalized regressions: the bridge versus the lasso. J. Comput. Gr. Stat. 7(3), 397\u2013416 (1998)","journal-title":"J. Comput. Gr. Stat."},{"issue":"3","key":"9498_CR6","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1198\/004017007000000245","volume":"49","author":"A Genkin","year":"2007","unstructured":"Genkin, A., Lewis, D., Madigan, D.: Large-scale Bayesian logistic regression for text categorization. Technometrics 49(3), 291\u2013304 (2007)","journal-title":"Technometrics"},{"issue":"1","key":"9498_CR7","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/0893-6080(88)90023-8","volume":"1","author":"R Gorman","year":"1988","unstructured":"Gorman, R., Sejnowski, T.: Analysis of hidden units in a layered network trained to classify sonar targets. Neural Netw. 1(1), 75\u201389 (1988)","journal-title":"Neural Netw."},{"issue":"8","key":"9498_CR8","doi-asserted-by":"crossref","first-page":"1284","DOI":"10.1038\/sj.bjc.6605576","volume":"102","author":"K Graham","year":"2010","unstructured":"Graham, K., de Las Morenas, A., Tripathi, A., King, C., Kavanah, M., Mendez, J., Stone, M., Slama, J., Miller, M., Antoine, G., et al.: Gene expression in histologically normal epithelium from breast cancer patients and from cancer-free prophylactic mastectomy patients shares a similar profile. Br. J. Cancer 102(8), 1284\u20131293 (2010)","journal-title":"Br. J. Cancer"},{"issue":"1","key":"9498_CR9","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1198\/0003130042836","volume":"58","author":"D Hunter","year":"2004","unstructured":"Hunter, D., Lange, K.: A tutorial on MM algorithms. Am. Stat. 58(1), 30\u201337 (2004)","journal-title":"Am. Stat."},{"key":"9498_CR10","unstructured":"Lange, K., Hunter, D., Yang, I.: Optimization transfer using sur- rogate objective functions (with discussion). J. Comput. Gr. Stat. 9, 1\u201320 (2000)"},{"key":"9498_CR11","unstructured":"Liu, J., Ji, S., Ye, J.: SLEP: Sparse Learning with Efficient Projections, Arizona State University. URL: http:\/\/www.public.asu.edu\/jye02\/Software\/SLEP (2009)"},{"key":"9498_CR12","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1111\/j.1467-9868.2007.00627.x","volume":"70","author":"L Meier","year":"2008","unstructured":"Meier, L., van de Geer, S., B\u00fchlmann, P.: The group lasso for logistic regression. J. R. Stat. Soc. Ser. B 70, 53\u201371 (2008)","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"9498_CR13","doi-asserted-by":"crossref","unstructured":"Nesterov, Y.: \u2018Introductory lectures on convex optimization: A basic course\u2019, Operations Research. (2004)","DOI":"10.1007\/978-1-4419-8853-9"},{"key":"9498_CR14","unstructured":"Nesterov, Y.: Gradient methods for minimizing composite objective function, Technical report, Technical Report, Center for Operations Research and Econometrics (CORE), Catholic University of Louvain (UCL) (2007)"},{"issue":"3","key":"9498_CR15","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1093\/imanum\/20.3.389","volume":"20","author":"M Osborne","year":"2000","unstructured":"Osborne, M., Presnell, B., Turlach, B.: A new approach to variable selection in least squares problems. IMA J. Numer. Anal. 20(3), 389\u2013403 (2000)","journal-title":"IMA J. Numer. Anal."},{"key":"9498_CR16","doi-asserted-by":"crossref","unstructured":"Quinlan, J.: Combining instance-based and model-based learning. In: Proceedings of the Tenth International Conference on Machine Learning, pp. 236\u2013243 (1993)","DOI":"10.1016\/B978-1-55860-307-3.50037-X"},{"issue":"1","key":"9498_CR17","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1002\/cem.1101","volume":"22","author":"S S\u00e6b\u00f8","year":"2008","unstructured":"S\u00e6b\u00f8, S., Alm\u00f8y, T., Aar\u00f8e, J., Aastveit, A.: St-pls: a multi-directional nearest shrunken centroid type classifier via pls. J. Chemom. 22(1), 54\u201362 (2008)","journal-title":"J. Chemom."},{"issue":"39","key":"9498_CR18","doi-asserted-by":"crossref","first-page":"14429","DOI":"10.1073\/pnas.0602562103","volume":"103","author":"T Scheetz","year":"2006","unstructured":"Scheetz, T., Kim, K., Swiderski, R., Philp, A., Braun, T., Knudtson, K., Dorrance, A., DiBona, G., Huang, J., Casavant, T., et al.: Regulation of gene expression in the mammalian eye and its relevance to eye disease. Proc. Nat. Acad. Sci. 103(39), 14429\u201314434 (2006)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"6","key":"9498_CR19","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1089\/106652703322756177","volume":"10","author":"M Segal","year":"2003","unstructured":"Segal, M., Dahlquist, K., Conklin, B.: Regression approaches for microarray data analysis. J. Comput. Biol. 10(6), 961\u2013980 (2003)","journal-title":"J. Comput. Biol."},{"issue":"2","key":"9498_CR20","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/S1535-6108(02)00030-2","volume":"1","author":"D Singh","year":"2002","unstructured":"Singh, D., Febbo, P., Ross, K., Jackson, D., Manola, J., Ladd, C., Tamayo, P., Renshaw, A., D\u2019Amico, A., Richie, J., et al.: Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1(2), 203\u2013209 (2002)","journal-title":"Cancer Cell"},{"key":"9498_CR21","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. R. Stat. Soc. Ser. B 58, 267\u2013288 (1996)","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"9498_CR22","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1111\/j.1467-9868.2011.01004.x","volume":"74","author":"R Tibshirani","year":"2012","unstructured":"Tibshirani, R., Bien, J., Friedman, J., Hastie, T., Simon, N., Taylor, J., Tibshirani, R.: Strong rules for discarding predictors in lasso-type problems. J. R. Stat. Soc. Ser. B 74, 245\u2013266 (2012)","journal-title":"J. R. Stat. Soc. Ser. B"},{"issue":"3","key":"9498_CR23","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1023\/A:1017501703105","volume":"109","author":"P Tseng","year":"2001","unstructured":"Tseng, P.: Convergence of a block coordinate descent method for nondifferentiable minimization. J. Optim. Theory Appl. 109(3), 475\u2013494 (2001)","journal-title":"J. Optim. Theory Appl."},{"key":"9498_CR24","unstructured":"Vogt, J., Roth, V.: A complete analysis of the $$l_{1, p}$$ l 1 , p group-lasso. In: Proceedings of the 29th International Conference on Machine Learning (ICML-12), ICML 2012, Omnipress, pp 185\u2013192 (2012)"},{"key":"9498_CR25","doi-asserted-by":"crossref","first-page":"5277","DOI":"10.1016\/j.csda.2008.05.006","volume":"52","author":"H Wang","year":"2008","unstructured":"Wang, H., Leng, C.: A note on adaptive group lasso. Comput. Stat. Data Anal. 52, 5277\u20135286 (2008)","journal-title":"Comput. Stat. Data Anal."},{"key":"9498_CR26","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1093\/bioinformatics\/btm579","volume":"24","author":"L Wang","year":"2008","unstructured":"Wang, L., Zhu, J., Zou, H.: Hybrid huberized support vector machines for microarray classification and gene selection. Bioinformatics 24, 412\u2013419 (2008)","journal-title":"Bioinformatics"},{"key":"9498_CR27","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1214\/07-AOAS147","volume":"2","author":"T Wu","year":"2008","unstructured":"Wu, T., Lange, K.: Coordinate descent algorithms for lasso penalized regression. Ann. Appl. Stat. 2, 224\u2013244 (2008)","journal-title":"Ann. Appl. Stat."},{"key":"9498_CR28","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1214\/08-STS264","volume":"4","author":"T Wu","year":"2010","unstructured":"Wu, T., Lange, K.: The MM alternative to EM. Stat. Sci. 4, 492\u2013505 (2010)","journal-title":"Stat. Sci."},{"key":"9498_CR29","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","volume":"68","author":"M Yuan","year":"2006","unstructured":"Yuan, M., Lin, Y.: Model selection and estimation in regression with grouped variables. J. R. Stat. Soc. Ser. B 68, 49\u201367 (2006)","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"9498_CR30","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1214\/aos\/1079120130","volume":"32","author":"T Zhang","year":"2004","unstructured":"Zhang, T.: Statistical behavior and consistency of classification methods based on convex risk minimization. Ann. Stat. 32, 56\u201385 (2004)","journal-title":"Ann. Stat."},{"key":"9498_CR31","doi-asserted-by":"crossref","first-page":"1418","DOI":"10.1198\/016214506000000735","volume":"101","author":"H Zou","year":"2006","unstructured":"Zou, H.: The adaptive lasso and its oracle properties. J. Am. Stat. Assoc. 101, 1418\u20131429 (2006)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-014-9498-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11222-014-9498-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-014-9498-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T21:13:05Z","timestamp":1717189985000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11222-014-9498-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,4]]},"references-count":31,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,11]]}},"alternative-id":["9498"],"URL":"https:\/\/doi.org\/10.1007\/s11222-014-9498-5","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"value":"0960-3174","type":"print"},{"value":"1573-1375","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,4]]}}}