{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:41:01Z","timestamp":1763458861497,"version":"3.45.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,13]],"date-time":"2017-08-13T00:00:00Z","timestamp":1502582400000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","award":["R01LM010730"],"award-info":[{"award-number":["R01LM010730"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-0953662"],"award-info":[{"award-number":["IIS-0953662"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,8,13]]},"DOI":"10.1145\/2939672.2939827","type":"proceedings-article","created":{"date-parts":[[2016,8,8]],"date-time":"2016-08-08T14:33:46Z","timestamp":1470666826000},"page":"1955-1964","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Absolute Fused Lasso and Its Application to Genome-Wide Association Studies"],"prefix":"10.1145","author":[{"given":"Tao","family":"Yang","sequence":"first","affiliation":[{"name":"Arizona State University, Tempe, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"SAS Institute Inc., Cary, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pinghua","family":"Gong","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"SAS Institute Inc., Cary, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaotong","family":"Shen","sequence":"additional","affiliation":[{"name":"University of Minnesota, Minneapolis, MN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jieping","family":"Ye","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arobr, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,8,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1214\/12-STS394"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOAS758"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2007.00843.x"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1214\/07-AOAS131"},{"key":"e_1_3_2_1_5_1","first-page":"37","volume-title":"The 30th International Conference on Machine Learning (ICML)","author":"Gong P.","year":"2013","unstructured":"P. Gong, C. Zhang, Z. Lu, J. Huang, and J. Ye. A general iterative shrinkage and thresholding algorithm for non-convex regularized optimization problems. In The 30th International Conference on Machine Learning (ICML), pages 37--45, 2013."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/archneurol.2012.1935"},{"key":"e_1_3_2_1_7_1","volume-title":"SLEP: Sparse Learning with Efficient Projections","author":"Liu J.","year":"2009","unstructured":"J. Liu, S. Ji, and J. Ye. SLEP: Sparse Learning with Efficient Projections. Arizona State University, 2009."},{"issue":"9","key":"e_1_3_2_1_8_1","first-page":"1","article-title":"Regularized regression method for genome-wide association studies","volume":"5","author":"Liu J.","year":"2011","unstructured":"J. Liu, K. Wang, S. Ma, and J. Huang. Regularized regression method for genome-wide association studies. BMC Proceedings, 5(9):1--5, 2011.","journal-title":"BMC Proceedings"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835847"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1001\/archneurol.2011.646"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2014.01.006"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-2011-110743"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/35075590"},{"issue":"1","key":"e_1_3_2_1_14_1","first-page":"289","article-title":"Convex analysis approach to dc programming: Theory, algorithms and applications","volume":"22","author":"Tao P. D.","year":"1997","unstructured":"P. D. Tao and L. T. H. An. Convex analysis approach to dc programming: Theory, algorithms and applications. Acta Mathematica Vietnamica, 22(1):289--355, 1997.","journal-title":"Acta Mathematica Vietnamica"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-0348-9297-1_18"},{"key":"e_1_3_2_1_16_1","series-title":"Series B (Methodological)","first-page":"267","volume-title":"Journal of the Royal Statistical Society","author":"Tibshirani R.","year":"1996","unstructured":"R. Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), pages 267--288, 1996."},{"key":"e_1_3_2_1_17_1","volume-title":"Sparsity and smoothness via the fused lasso. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(1):91--108","author":"Tibshirani R.","year":"2005","unstructured":"R. Tibshirani, M. Saunders, S. Rosset, J. Zhu, and K. Knight. Sparsity and smoothness via the fused lasso. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(1):91--108, 2005."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxm013"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.61.9.1434"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.646"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2016892"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1137\/130936397"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339675"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7164036"},{"key":"e_1_3_2_1_25_1","first-page":"144","volume-title":"Pacific Symposium on Biocomputing","author":"Yang T.","year":"2015","unstructured":"T. Yang, X. Zhao, B. Lin, T. Zeng, S. Ji, and J. Ye. Automated gene expression pattern annotation in the mouse brain. In Pacific Symposium on Biocomputing, page 144, 2015."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2408736.2408739"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0087017"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2013.770704"},{"key":"e_1_3_2_1_29_1","volume-title":"Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(2):301--320","author":"Zou H.","year":"2005","unstructured":"H. Zou and T. Hastie. Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(2):301--320, 2005."}],"event":{"name":"KDD '16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"San Francisco California USA","acronym":"KDD '16"},"container-title":["Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2939827","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2939672.2939827","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2939672.2939827","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:37:04Z","timestamp":1763458624000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2939827"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,13]]},"references-count":29,"alternative-id":["10.1145\/2939672.2939827","10.1145\/2939672"],"URL":"https:\/\/doi.org\/10.1145\/2939672.2939827","relation":{},"subject":[],"published":{"date-parts":[[2016,8,13]]},"assertion":[{"value":"2016-08-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}