{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T23:50:54Z","timestamp":1722901854035},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1186\/1471-2105-15-209","type":"journal-article","created":{"date-parts":[[2014,6,20]],"date-time":"2014-06-20T01:03:24Z","timestamp":1403226204000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns"],"prefix":"10.1186","volume":"15","author":[{"given":"Rongjian","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenlu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuiwang","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,6,20]]},"reference":[{"issue":"1","key":"6466_CR1","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1523\/JNEUROSCI.4178-07.2008","volume":"28","author":"JD Cahoy","year":"2008","unstructured":"Cahoy JD, Emery B, Kaushal A, Foo LC, Zamanian JL, Christopherson KS, Xing Y, Lubischer JL, Krieg PA, Krupenko SA, Thompson WJ, Barres BA: A transcriptome database for astrocytes, neurons, and oligodendrocytes: A new resource for understanding brain development and function. J Neurosci. 2008, 28 (1): 264-278.","journal-title":"J Neurosci"},{"key":"6466_CR2","unstructured":"Grange P, Hawrylycz M, Mitra PP: Cell-type-specific microarray data and the Allen atlas: quantitative analysis of brain-wide patterns of correlation and density. arXiv: 1303.0013 [q-bio.NC] (2013),"},{"issue":"1","key":"6466_CR3","doi-asserted-by":"publisher","first-page":"16493","DOI":"10.1371\/journal.pone.0016493","volume":"6","author":"BW Okaty","year":"2011","unstructured":"Okaty BW, Sugino K, Nelson SB: A quantitative comparison of cell-type-specific microarray gene expression profiling methods in the mouse brain. PLoS One. 2011, 6 (1): 16493-","journal-title":"PLoS One"},{"issue":"8","key":"6466_CR4","doi-asserted-by":"publisher","first-page":"3095","DOI":"10.1073\/pnas.1222897110","volume":"110","author":"Y Ko","year":"2013","unstructured":"Ko Y, Ament SA, Eddy JA, Caballero J, Earls JC, Hood L, Price ND: Cell type-specific genes show striking and distinct patterns of spatial expression in the mouse brain. Proc Nat Acad Sci. 2013, 110 (8): 3095-3100.","journal-title":"Proc Nat Acad Sci"},{"key":"6466_CR5","doi-asserted-by":"crossref","unstructured":"French L, Tan PPC, Pavlidis P: Large-scale analysis of gene expression and connectivity in the rodent brain: insights through data integration. Front Neuroinform. 2011, 5 (12):","DOI":"10.3389\/fninf.2011.00012"},{"key":"6466_CR6","doi-asserted-by":"crossref","unstructured":"Tan PPC, French L, Pavlidis P: Neuron-enriched gene expression patterns are regionally anti-correlated with oligodendrocyte-enriched patterns in the adult mouse and human brain. Front Neurosci. 2013, 7 (5):","DOI":"10.3389\/fnins.2013.00005"},{"key":"6466_CR7","first-page":"1","volume-title":"Proceedings of the 46th Annual Conference on Information Sciences and Systems","author":"P Grange","year":"2012","unstructured":"Grange P, Mitra PP: Computational neuroanatomy and gene expression: Optimal sets of marker genes for brain regions. Proceedings of the 46th Annual Conference on Information Sciences and Systems. 2012, Princeton, NJ, USA: IEEE, 1-6."},{"key":"6466_CR8","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1186\/1471-2105-14-222","volume":"14","author":"S Ji","year":"2013","unstructured":"Ji S: Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering. BMC Bioinformatics. 2013, 14: 222-","journal-title":"BMC Bioinformatics"},{"issue":"1","key":"6466_CR9","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.neuroimage.2013.08.049","volume":"84","author":"S Ji","year":"2014","unstructured":"Ji S, Fakhry A, Deng H: Integrative analysis of the connectivity and gene expression atlases in the mouse brain. NeuroImage. 2014, 84 (1): 245-253.","journal-title":"NeuroImage"},{"issue":"8","key":"6466_CR10","doi-asserted-by":"publisher","first-page":"1003189","DOI":"10.1371\/journal.pcbi.1003189","volume":"9","author":"NS Zuckerman","year":"2013","unstructured":"Zuckerman NS, Noam Y, Goldsmith AJ, Lee PP: A self-directed method for cell-type identification and separation of gene expression microarrays. PLoS Comput Biol. 2013, 9 (8): 1003189-","journal-title":"PLoS Comput Biol"},{"issue":"11","key":"6466_CR11","doi-asserted-by":"publisher","first-page":"1271","DOI":"10.1038\/nn.2207","volume":"11","author":"MC Oldham","year":"2008","unstructured":"Oldham MC, Konopka G, Iwamoto K, Langfelder P, Kato T, Horvath S, Geschwind DH: Functional organization of the transcriptome in human brain. Nat Neurosci. 2008, 11 (11): 1271-1282.","journal-title":"Nat Neurosci"},{"issue":"7416","key":"6466_CR12","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1038\/nature11405","volume":"489","author":"MJ Hawrylycz","year":"2012","unstructured":"Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, Shen EH, Ng L, Miller JA, Van de Lagemaat LN, Smith KA, Ebbert A, Riley ZL, Abajian C, Beckmann CF, Bernard A, Bertagnolli D, Boe AF, Cartagena PM, Chakravarty MM, Chapin M, Chong J, Dalley RA, Daly BD, Dang C, Datta S, Dee N, Dolbeare TA, Faber V, Feng D, Fowler DR, Goldy J, Gregor BW, et al: An anatomically comprehensive atlas of the adult human brain transcriptome. Nature. 2012, 489 (7416): 391-399.","journal-title":"Nature"},{"issue":"7124","key":"6466_CR13","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1038\/nature05453","volume":"445","author":"ES Lein","year":"2007","unstructured":"Lein ES, Hawrylycz MJ, Ao N, Ayres M, Bensinger A, Bernard A, Boe AF, Boguski MS, Brockway KS, Byrnes EJ, Chen L, Chen L, Chen TM, Chin MC, Chong J, Crook BE, Czaplinska A, Dang CN, Datta S, Dee NR, Desaki AL, Desta T, Diep E, Dolbeare TA, Donelan MJ, Dong HW, Dougherty JG, Duncan BJ, Ebbert AJ, Eichele G, et al: Genome-wide atlas of gene expression in the adult mouse brain. Nature. 2007, 445 (7124): 168-176.","journal-title":"Nature"},{"issue":"1","key":"6466_CR14","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1146\/annurev-neuro-062111-150410","volume":"35","author":"S Ganguli","year":"2012","unstructured":"Ganguli S, Sompolinsky H: Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. Ann Rev Neurosci. 2012, 35 (1): 485-508.","journal-title":"Ann Rev Neurosci"},{"key":"6466_CR15","volume-title":"Swets JA: Signal Detection Theory and Psychophysics","author":"DM Green","year":"1966","unstructured":"Green DM: Swets JA: Signal Detection Theory and Psychophysics. 1966, New York, NY, USA: John Wiley and Sons Inc."},{"key":"6466_CR16","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/B978-1-55860-036-2.50047-3","volume-title":"Proceedings of the Sixth International Workshop on Machine Learning","author":"KA Spackman","year":"1989","unstructured":"Spackman KA: Signal detection theory: valuable tools for evaluating inductive learning. Proceedings of the Sixth International Workshop on Machine Learning. 1989, San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 160-163."},{"key":"6466_CR17","unstructured":"Allen Institute for Brain Science: Allen Mouse Brain Atlas [Internet]. http:\/\/mouse.brain-map.org\/.,"},{"key":"6466_CR18","volume-title":"The Allen Reference Atlas: A Digital Color Brain Atlas of the C57BL\/6J Male Mouse","author":"H-W Dong","year":"2009","unstructured":"Dong H-W: The Allen Reference Atlas: A Digital Color Brain Atlas of the C57BL\/6J Male Mouse. 2009, Hoboken, NJ: John Wiley & Sons Inc."},{"key":"6466_CR19","unstructured":"Allen Institute for Brain Science: Allen Mouse Brain Atlas: Technical White Paper: Informatics Data Processing. http:\/\/help.brain-map.org\/download\/attachments\/2818169\/InformaticsDataProcessing.pdf.,"},{"key":"6466_CR20","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1109\/tcbb.2007.1035","volume":"4","author":"L Ng","year":"2007","unstructured":"Ng L, Pathak S, Kuan C, Lau C, Dong H, Sodt A, Dang C, Avants B, Yushkevich P, Gee J, Haynor D, Lein E, Jones A, Hawrylycz M: Neuroinformatics for genome-wide 3-D gene expression mapping in the mouse brain. IEEE\/ACM Trans Comput Biol Bioinform. 2007, 4: 382-393.","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"issue":"3","key":"6466_CR21","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1038\/nn.2281","volume":"12","author":"L Ng","year":"2009","unstructured":"Ng L, Bernard A, Lau C, Overly CC, Dong HW, Kuan C, Pathak S, Sunkin SM, Dang C, Bohland JW, Bokil H, Mitra PP, Puelles L, Hohmann J, Anderson DJ, Lein ES, Jones AR, Hawrylycz MJ: An anatomic gene expression atlas of the adult mouse brain. Nat Neurosci. 2009, 12 (3): 356-362.","journal-title":"Nat Neurosci"},{"issue":"2","key":"6466_CR22","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG: Distinctive image features from scale-invariant keypoints. Int J Comput Vis. 2004, 60 (2): 91-110.","journal-title":"Int J Comput Vis"},{"issue":"10","key":"6466_CR23","doi-asserted-by":"publisher","first-page":"1615","DOI":"10.1109\/TPAMI.2005.188","volume":"27","author":"K Mikolajczyk","year":"2005","unstructured":"Mikolajczyk K, Schmid C: A performance evaluation of local descriptors. IEEE Trans Patt Anal Mach Intell. 2005, 27 (10): 1615-1630.","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"key":"6466_CR24","first-page":"490","volume-title":"Proceedings of the 9th European Conference on Computer Vision","author":"E Nowak","year":"2006","unstructured":"Nowak E, Jurie F, Triggs B: Sampling strategies for bag-of-features image classification. Proceedings of the 9th European Conference on Computer Vision. 2006, Berlin, Heidelberg: Springer, 490-503."},{"key":"6466_CR25","first-page":"1","volume-title":"Proceedings of the IEEE 11th International Conference on Computer Vision","author":"A Bosch","year":"2007","unstructured":"Bosch A, Zisserman A, Muoz X: Image classification using random forests and ferns. Proceedings of the IEEE 11th International Conference on Computer Vision. 2007, Rio de Janeiro, Brazil: IEEE Computer Society, 1-8."},{"issue":"13","key":"6466_CR26","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1093\/bioinformatics\/btt207","volume":"29","author":"N Liscovitch","year":"2013","unstructured":"Liscovitch N, Shalit U, Chechik G: FuncISH: learning a functional representation of neural ISH images. Bioinformatics. 2013, 29 (13): 36-43.","journal-title":"Bioinformatics"},{"issue":"17","key":"6466_CR27","doi-asserted-by":"publisher","first-page":"1881","DOI":"10.1093\/bioinformatics\/btn347","volume":"24","author":"S Ji","year":"2008","unstructured":"Ji S, Sun L, Jin R, Kumar S, Ye J: Automated annotation of Drosophilagene expression patterns using a controlled vocabulary. Bioinformatics. 2008, 24 (17): 1881-1888.","journal-title":"Bioinformatics"},{"key":"6466_CR28","volume-title":"VLFeat: An Open and Portable Library of Computer Vision Algorithms","author":"A Vedaldi","year":"2008","unstructured":"Vedaldi A, Fulkerson B: VLFeat: An Open and Portable Library of Computer Vision Algorithms. 2008, http:\/\/www.vlfeat.org\/.,"},{"key":"6466_CR29","first-page":"1","volume-title":"ECCV Workshop on Statistical Learning in Computer Vision","author":"G Csurka","year":"2004","unstructured":"Csurka G, Dance C, Fan L, Willamowski J, Bray C: Visual categorization with bags of keypoints. ECCV Workshop on Statistical Learning in Computer Vision. 2004, Prague, Czech Republic, 1-22."},{"key":"6466_CR30","first-page":"524","volume-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"L Fei-Fei","year":"2005","unstructured":"Fei-Fei L, Perona P: A Bayesian hierarchical model for learning natural scene categories. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2005, San Diego, CA, USA: IEEE Computer Society, 524-531."},{"key":"6466_CR31","first-page":"2169","volume-title":"Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"S Lazebnik","year":"2006","unstructured":"Lazebnik S, Achmid C, Ponce J: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2006, New York, NY, USA: IEEE Computer Society, 2169-2178."},{"issue":"1","key":"6466_CR32","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1186\/1471-2105-10-119","volume":"10","author":"S Ji","year":"2009","unstructured":"Ji S, Li Y-X, Zhou Z-H, Kumar S, Ye J: A bag-of-words approach for Drosophilagene expression pattern annotation. BMC Bioinformatics. 2009, 10 (1): 119-","journal-title":"BMC Bioinformatics"},{"issue":"12","key":"6466_CR33","doi-asserted-by":"publisher","first-page":"1002790","DOI":"10.1371\/journal.pcbi.1002790","volume":"8","author":"L Kirsch","year":"2012","unstructured":"Kirsch L, Liscovitch N, Chechik G: Localizing genes to cerebellar layers by classifying ISH images. PLOS Comput Biol. 2012, 8 (12): 1002790-","journal-title":"PLOS Comput Biol"},{"issue":"2","key":"6466_CR34","doi-asserted-by":"publisher","first-page":"752","DOI":"10.1016\/j.neuroimage.2010.02.040","volume":"51","author":"S Ryali","year":"2010","unstructured":"Ryali S, Supekar K, Abrams DA, Menon V: Sparse logistic regression for whole-brain classification of fMRI data. NeuroImage. 2010, 51 (2): 752-764.","journal-title":"NeuroImage"},{"issue":"2","key":"6466_CR35","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.1016\/j.neuroimage.2011.12.085","volume":"60","author":"M de Brecht","year":"2012","unstructured":"de Brecht M, Yamagishi N: Combining sparseness and smoothness improves classification accuracy and interpretability. NeuroImage. 2012, 60 (2): 1550-1561.","journal-title":"NeuroImage"},{"key":"6466_CR36","first-page":"627","volume":"9","author":"C-J Lin","year":"2008","unstructured":"Lin C-J, Weng RC, Keerthi SS: Trust region newton method for logistic regression. J Mach Learn Res. 2008, 9: 627-650.","journal-title":"J Mach Learn Res"},{"issue":"1","key":"6466_CR37","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 Series B. 1996, 58 (1): 267-288.","journal-title":"J R Stat Soc Series B"},{"issue":"9","key":"6466_CR38","doi-asserted-by":"publisher","first-page":"2584","DOI":"10.1109\/JPROC.2012.2188013","volume":"100","author":"G-X Yuan","year":"2012","unstructured":"Yuan G-X, Ho C-H, Lin C-J: Recent advances of large-scale linear classification. Proc IEEE. 2012, 100 (9): 2584-2603.","journal-title":"Proc IEEE"},{"key":"6466_CR39","volume-title":"SLEP: Sparse Learning with Efficient Projections","author":"J Liu","year":"2009","unstructured":"Liu J, Ye J, Ji S: SLEP: Sparse Learning with Efficient Projections. 2009, Arizona State University, http:\/\/www.public.asu.edu\/~jye02\/Software\/SLEP\/,"},{"key":"6466_CR40","first-page":"3183","volume":"11","author":"G-X Yuan","year":"2010","unstructured":"Yuan G-X, Chang K-W, Hsieh C-J, Lin C-J: A comparison of optimization methods and software for large-scale L1-regularized linear classification. J Mach Learn Res. 2010, 11: 3183-3234.","journal-title":"J Mach Learn Res"},{"issue":"3","key":"6466_CR41","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1109\/TBME.2013.2291703","volume":"61","author":"F Xing","year":"2014","unstructured":"Xing F, Su H, Neltner J, Yang L: Automatic ki-67 counting using robust cell detection and online dictionary learning. IEEE Trans Biomed Eng. 2014, 61 (3): 859-870.","journal-title":"IEEE Trans Biomed Eng"},{"issue":"99","key":"6466_CR42","first-page":"1","volume":"PP","author":"H Su","year":"2013","unstructured":"Su H, Xing F, Lee J, Peterson C, Yang L: Automatic myonuclear detection in isolated single muscle fibers using robust ellipse fitting and sparse optimization. IEEE\/ACM Trans Comput Biol Bioinformatics. 2013, PP (99): 1-1.","journal-title":"IEEE\/ACM Trans Comput Biol Bioinformatics"},{"key":"6466_CR43","first-page":"877","volume-title":"Handbook of Computational Statistics: Concepts and Methods","author":"P B\u00fchlmann","year":"2004","unstructured":"B\u00fchlmann P: Bagging, boosting and ensemble methods. Handbook of Computational Statistics: Concepts and Methods. Edited by: Gentle J, H\u00e4rdle W, Mori Y. 2004, Berlin: Springer Handbooks of Computational Statistics, Springer, 877-907."},{"issue":"4","key":"6466_CR44","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1111\/j.1467-9868.2010.00740.x","volume":"72","author":"N Meinshausen","year":"2010","unstructured":"Meinshausen N, B\u00fchlmann P: Stability selection. J R Stat Soc Series B (Stat Methodol). 2010, 72 (4): 417-473.","journal-title":"J R Stat Soc Series B (Stat Methodol)"},{"key":"6466_CR45","first-page":"1871","volume":"9","author":"R-E Fan","year":"2008","unstructured":"Fan R-E, Chang K-W, Hsieh C-J, Wang X-R, Lin C-J: LIBLINEAR: A library for large linear classification. J Mach Learn Res. 2008, 9: 1871-1874.","journal-title":"J Mach Learn Res"},{"key":"6466_CR46","volume-title":"Principles of Neural Science","author":"ER Kandel","year":"2012","unstructured":"Kandel ER, Schwartz JH, Jessell TM, Siegelbaum SA, Hudspeth AJ: Principles of Neural Science. 2012, New York, NY, USA: McGraw-Hill Professional"},{"issue":"4\u20135","key":"6466_CR47","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/S0197-0186(99)00137-0","volume":"36","author":"W Walz","year":"2000","unstructured":"Walz W: Role of astrocytes in the clearance of excess extracellular potassium. Neurochem Int. 2000, 36 (4\u20135): 291-300.","journal-title":"Neurochem Int"},{"key":"6466_CR48","volume-title":"Neuroscience: Exploring the Brain","author":"MF Bear","year":"2006","unstructured":"Bear MF, Connors BW, Paradiso MA: Neuroscience: Exploring the Brain. 2006, Baltimore, MD, USA: Lippincott Williams & Wilkins"},{"key":"6466_CR49","volume-title":"The Brain: An Introduction to Functional Neuroanatomy","author":"C Watson","year":"2010","unstructured":"Watson C, Kirkcaldie M, Paxinos G: The Brain: An Introduction to Functional Neuroanatomy. 2010, NY, USA: Academic Press"},{"issue":"1","key":"6466_CR50","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1186\/1471-2105-14-293","volume":"14","author":"H Peng","year":"2013","unstructured":"Peng H, Roysam B, Ascoli G: Automated image computing reshapes computational neuroscience. BMC Bioinformatics. 2013, 14 (1): 293-","journal-title":"BMC Bioinformatics"},{"issue":"17","key":"6466_CR51","doi-asserted-by":"publisher","first-page":"1827","DOI":"10.1093\/bioinformatics\/btn346","volume":"24","author":"H Peng","year":"2008","unstructured":"Peng H: Bioimage informatics: a new area of engineering biology. Bioinformatics. 2008, 24 (17): 1827-1836.","journal-title":"Bioinformatics"},{"issue":"9","key":"6466_CR52","doi-asserted-by":"publisher","first-page":"74481","DOI":"10.1371\/journal.pone.0074481","volume":"8","author":"R Ugolotti","year":"2013","unstructured":"Ugolotti R, Mesejo P, Zongaro S, Bardoni B, Berto G, Bianchi F, Molineris I, Giacobini M, Cagnoni S, Di Cunto F: Visual search of neuropil-enriched RNAs from brain in situ hybridization data through the image analysis pipeline Hippo-ATESC. PlOS ONE. 2013, 8 (9): 74481-","journal-title":"PlOS ONE"},{"issue":"8","key":"6466_CR53","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio Y, Courville A, Vincent P: Representation learning: A review and new perspectives. IEEE Trans Pattern Anal Mach Intell. 2013, 35 (8): 1798-1828.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"6466_CR54","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TPAMI.2012.59","volume":"35","author":"S Ji","year":"2013","unstructured":"Ji S, Xu W, Yang M, Yu K: 3D convolutional neural networks for human action recognition. IEEE Trans Pattern Anal Mach Intell. 2013, 35 (1): 221-231.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"6466_CR55","doi-asserted-by":"publisher","first-page":"3465","DOI":"10.1137\/090763184","volume":"20","author":"TK Pong","year":"2010","unstructured":"Pong TK, Tseng P, Ji S, Ye J: Trace norm regularization: Reformulations, algorithms, and multi-task learning. SIAM J Optimization. 2010, 20 (6): 3465-3489.","journal-title":"SIAM J Optimization"},{"key":"6466_CR56","first-page":"339","volume-title":"Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence","author":"J Liu","year":"2009","unstructured":"Liu J, Ji S, Ye J: Multi-task feature learning via efficient \u2113 2,1 -norm minimization. Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. 2009, Montreal, Canada: Association for Uncertainty in Artificial Intelligence, 339-348."},{"issue":"2","key":"6466_CR57","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1016\/j.neuroimage.2011.09.069","volume":"59","author":"D Zhang","year":"2012","unstructured":"Zhang D, Shen D: Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer\u2019s disease. NeuroImage. 2012, 59 (2): 895-907.","journal-title":"NeuroImage"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-15-209.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T22:25:06Z","timestamp":1716848706000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-15-209"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,6,20]]},"references-count":57,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2014,12]]}},"alternative-id":["6466"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-15-209","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,6,20]]},"assertion":[{"value":"16 December 2013","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2014","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2014","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"209"}}