Yufeng Liu

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	Toate	Din 2019
Referințe bibliografice	13663	6979
h-index	43	32
i10-index	69	52

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J. S. MarronUniversity of North CarolinaAdresă de e-mail confirmată pe unc.edu
Hao Helen ZhangUniversity of ArizonaAdresă de e-mail confirmată pe math.arizona.edu
Chong ZhangUniversity of WaterlooAdresă de e-mail confirmată pe uwaterloo.ca
Hanwen HuangUniversity of GeorgiaAdresă de e-mail confirmată pe uga.edu
Xingye QiaoProfessor of Mathematics and Statistics, Binghamton UniversityAdresă de e-mail confirmată pe binghamton.edu
Wonyul LeeThe University of Texas M.D. Anderson Cancer CenterAdresă de e-mail confirmată pe mdanderson.org
Ming YuanColumbia UniversityAdresă de e-mail confirmată pe columbia.edu
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceAdresă de e-mail confirmată pe shanghaitech.edu.cn
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillAdresă de e-mail confirmată pe email.unc.edu
Guan YuAssociate Professor, Department of Biostatistics, University of PittsburghAdresă de e-mail confirmată pe pitt.edu
Michael R. KosorokW.R. Kenan, Jr. Distinguished Professor of Biostatistics, University of North CarolinaAdresă de e-mail confirmată pe unc.edu
Wei SunFred Hutchinson Cancer CenterAdresă de e-mail confirmată pe fredhutch.org
Dacheng LiuBiostatistician, Boehringer IngelheimAdresă de e-mail confirmată pe boehringer-ingelheim.com
Haoda FuEli Lilly and CompanyAdresă de e-mail confirmată pe lilly.com
Jingxiang (Sean) ChenPh.D. candidate, University of North Carolina at Chapel HillAdresă de e-mail confirmată pe email.unc.edu
William ValdarUniversity of North Carolina at Chapel HillAdresă de e-mail confirmată pe unc.edu
Yuying Xie (谢於颖)Associate Professor at Michigan State UniversityAdresă de e-mail confirmată pe msu.edu
Shu LuStatistics and Operations Research, University of North Carolina at Chapel HillAdresă de e-mail confirmată pe email.unc.edu
Daniel V. SamarovMathematical Statistician, National Institute of Standards and Technology; Co-founder and Chief Data Scientist Science Behind SwAdresă de e-mail confirmată pe nist.gov
Annie QuUniversity of California IrvineAdresă de e-mail confirmată pe uci.edu

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Yufeng Liu

University of North Carolina at Chapel Hill

Adresă de e-mail confirmată pe email.unc.edu - Pagina de pornire

Machine Learning Nonparametric Statistics Personalized Medicine Statistical Genetics and Genomics Neuroimage


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Comprehensive genomic characterization of squamous cell lung cancers Cancer Genome Atlas Research Network Nature 489 (7417), 519, 2012	3748	2012
Comprehensive genomic characterization of head and neck squamous cell carcinomas Cancer Genome Atlas Network Nature 517 (7536), 576, 2015	3377	2015
Variable selection in quantile regression Y Wu, Y Liu Statistica Sinica, 801-817, 2009	534	2009
Mutations in isocitrate dehydrogenase 1 and 2 occur frequently in intrahepatic cholangiocarcinomas and share hypermethylation targets with glioblastomas P Wang, Q Dong, C Zhang, PF Kuan, Y Liu, WR Jeck, JB Andersen, ... Oncogene 32 (25), 3091, 2013	454	2013
Robust truncated hinge loss support vector machines Y Wu, Y Liu Journal of the American Statistical Association 102 (479), 974-983, 2007	439	2007
Statistical significance of clustering for high-dimension, low–sample size data Y Liu, DN Hayes, A Nobel, JS Marron Journal of the American Statistical Association 103 (483), 1281-1293, 2008	323	2008
Lung squamous cell carcinoma mRNA expression subtypes are reproducible, clinically-important and correspond to different normal cell types MD Wilkerson, X Yin, KA Hoadley, Y Liu, MC Hayward, CR Cabanski, ... Clinical cancer research, clincanres. 0199.2010, 2010	315*	2010
Quantile regression in reproducing kernel Hilbert spaces Y Li, Y Liu, J Zhu Journal of the American Statistical Association 102 (477), 255-268, 2007	230	2007
Statistical significance for hierarchical clustering PK Kimes, Y Liu, D Neil Hayes, JS Marron Biometrics 73 (3), 811-821, 2017	208	2017
Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures C Fan, A Prat, JS Parker, Y Liu, LA Carey, MA Troester, CM Perou BMC medical genomics 4 (1), 3, 2011	193	2011
Multicategory ψ-Learning Y Liu, X Shen Journal of the American Statistical Association 101 (474), 500-509, 2006	191	2006
Linear or nonlinear? Automatic structure discovery for partially linear models HH Zhang, G Cheng, Y Liu Journal of the American Statistical Association 106 (495), 1099-1112, 2011	190	2011
DiffSplice: the genome-wide detection of differential splicing events with RNA-seq Y Hu, Y Huang, Y Du, CF Orellana, D Singh, AR Johnson, A Monroy, ... Nucleic acids research 41 (2), e39-e39, 2012	180	2012
Hard or soft classification? Large-margin unified machines Y Liu, HH Zhang, Y Wu Journal of the American Statistical Association 106 (493), 166-177, 2011	154	2011
Multicategory ψ-learning and support vector machine: computational tools Y Liu, X Shen, H Doss Journal of Computational and Graphical Statistics 14 (1), 219-236, 2005	140	2005
Simultaneous multiple response regression and inverse covariance matrix estimation via penalized Gaussian maximum likelihood W Lee, Y Liu Journal of multivariate analysis 111, 241-255, 2012	132	2012
Weighted distance weighted discrimination and its asymptotic properties X Qiao, HH Zhang, Y Liu, MJ Todd, JS Marron Journal of the American Statistical Association 105 (489), 401-414, 2010	127	2010
Fisher consistency of multicategory support vector machines Y Liu Artificial Intelligence and Statistics, 291-298, 2007	122	2007
Variable selection for the multicategory SVM via adaptive sup-norm regularization HH Zhang, Y Liu, Y Wu, J Zhu Electronic Journal of Statistics 2, 149-167, 2008	118	2008
Stepwise multiple quantile regression estimation using non-crossing constraints Y Liu, Y Wu Statistics and its Interface 2 (3), 299-310, 2009	115	2009

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