{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:18:20Z","timestamp":1743038300324,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319676746"},{"type":"electronic","value":"9783319676753"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-67675-3_21","type":"book-chapter","created":{"date-parts":[[2017,9,11]],"date-time":"2017-09-11T17:36:30Z","timestamp":1505151390000},"page":"230-240","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics Data"],"prefix":"10.1007","author":[{"given":"Pascal","family":"Lu","sequence":"first","affiliation":[]},{"given":"Olivier","family":"Colliot","sequence":"additional","affiliation":[]},{"name":"the\u00a0Alzheimer\u2019s\u00a0Disease Neuroimaging Initiative","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,8]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","DOI":"10.1201\/b18401","volume-title":"Statistical Learning with Sparsity - The Lasso and Generalizations","author":"T Hastie","year":"2015","unstructured":"Hastie, T., Tibshirani, R., Wainwright, M.: Statistical Learning with Sparsity - The Lasso and Generalizations, vol. 143. CRC Press, Boca Rato (2015)"},{"key":"21_CR2","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","volume":"68","author":"Y Ming","year":"2006","unstructured":"Ming, Y., Yi, L.: Model selection and estimation in regression with grouped variables. J. R. Statist. Soc. B, part 1 68, 49\u201367 (2006)","journal-title":"J. R. Statist. Soc. B, part 1"},{"key":"21_CR3","doi-asserted-by":"publisher","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. Statist. Soc. B 70, 53\u201371 (2008)","journal-title":"J. R. Statist. Soc. B"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Jacob, L., Obozinski, G., Vert. J.-P.: Group lasso with overlap and graph lasso. In: Proceedings of the 26th International Conference on Machine Learning (2009)","DOI":"10.1145\/1553374.1553431"},{"key":"21_CR5","first-page":"42","volume-title":"Convex Optimization in Signal Processing and Communications","author":"A Beck","year":"2010","unstructured":"Beck, A., Teboulle, M.: Gradient-based algorithms with applications to signal recovery problems. In: Palomar, D.P., Eldar, Y.C. (eds.) Convex Optimization in Signal Processing and Communications, pp. 42\u201388. Cambribge University Press, Cambridge (2010)"},{"key":"21_CR6","first-page":"2211","volume":"12","author":"M G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M., Alpaydin, E.: Multiple kernel learning algorithms. J. Mach. Learn. Res. 12, 2211\u20132268 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"21_CR7","first-page":"953","volume":"12","author":"M Kloft","year":"2011","unstructured":"Kloft, M., Brefeld, U., Sonnenburg, S., Zien, A.: $$\\ell _p$$-norm multiple kernel learning. J. Mach. Learn. Res. 12, 953\u2013997 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"29","key":"21_CR8","first-page":"1","volume":"8","author":"J Liu","year":"2014","unstructured":"Liu, J., Calhoun, V.D.: A review of multivariate analyses in imaging genetics. Front. Neuroinform. 8(29), 1\u201311 (2014)","journal-title":"Front. Neuroinform."},{"key":"21_CR9","first-page":"1765","volume":"35","author":"NK Batmanghelich","year":"2016","unstructured":"Batmanghelich, N.K., Dalca, A., Quon, G., Sabuncu, M., Golland, P.: Probabilistic modeling of imaging, genetics and diagnosis. IEEE TMI 35, 1765\u20131779 (2016)","journal-title":"IEEE TMI"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Kohannim, O., et al.: Discovery and replication of gene influences on brain structure using LASSO regression. Front. Neurosci. 6(115) (2012)","DOI":"10.3389\/fnins.2012.00115"},{"issue":"1","key":"21_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2202\/1544-6115.1755","volume":"11","author":"M Silver","year":"2012","unstructured":"Silver, M., et al.: Fast identification of biological pathways associated with a quantitative trait using group lasso with overlaps. Stat. Appl. Genet. Mol. Biol. 11(1), 1\u201340 (2012)","journal-title":"Stat. Appl. Genet. Mol. Biol."},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Silver, M., Janousova, E., Hua, X., Thompson, P.M., Montana, G., and ADNI: Identification of gene pathways implicated in alzheimer\u2019s disease using longitudinal imaging phenotypes with sparse regression. NeuroImage 63(3), 1681\u20131694 (2012)","DOI":"10.1016\/j.neuroimage.2012.08.002"},{"issue":"12","key":"21_CR13","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1093\/bioinformatics\/bts228","volume":"28","author":"H Wang","year":"2012","unstructured":"Wang, H., Nie, F., Huang, H., Risacher, S.L., Saykin, A.J., Shen, L.: Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinformatics 28(12), 127\u2013136 (2012)","journal-title":"Bioinformatics"},{"key":"21_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1007\/978-3-319-46723-8_9","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"J Peng","year":"2016","unstructured":"Peng, J., An, L., Zhu, X., Jin, Y., Shen, D.: Structured sparse kernel learning for imaging genetics based Alzheimer\u2019s Disease Diagnosis. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9901, pp. 70\u201378. Springer, Cham (2016). doi:10.1007\/978-3-319-46723-8_9"},{"key":"21_CR15","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.neucom.2014.11.078","volume":"169","author":"F Aiolli","year":"2015","unstructured":"Aiolli, F., Donini, M.: EasyMKL: a scalable multiple kernel learning algorithm. Neurocomputing 169, 215\u2013224 (2015)","journal-title":"Neurocomputing"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Lorenzi, M., Gutman, B., Hibar, D., Altmann, A., Jahanshad, N., Thompson, P.M., Ourselin, S.: Partial least squares modelling for imaging-genetics in Alzheimer\u2019s Disease: plausibility and generalization In: IEEE ISBI (2016)","DOI":"10.1109\/ISBI.2016.7493396"},{"key":"21_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1007\/978-3-319-10443-0_42","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"L Du","year":"2014","unstructured":"Du, L., et al.: A novel structure-aware sparse learning algorithm for brain imaging genetics. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8675, pp. 329\u2013336. Springer, Cham (2014). doi:10.1007\/978-3-319-10443-0_42"}],"container-title":["Lecture Notes in Computer Science","Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67675-3_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:18:52Z","timestamp":1709831932000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-67675-3_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319676746","9783319676753"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67675-3_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"8 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICGen","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Imaging Genetics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qu\u00e9bec City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micgen2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/micgen.csail.mit.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}