The sparsity and bias of the lasso selection in high-dimensional linear regression CH Zhang, J Huang | 974 | 2008 |
Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection P Breheny, J Huang The annals of applied statistics 5 (1), 232, 2011 | 927 | 2011 |
Adaptive Lasso for sparse high-dimensional regression models J Huang, S Ma, CH Zhang Statistica Sinica, 1603-1618, 2008 | 753 | 2008 |
Variable selection in nonparametric additive models J Huang, JL Horowitz, F Wei Annals of statistics 38 (4), 2282, 2010 | 621 | 2010 |
Asymptotic properties of bridge estimators in sparse high-dimensional regression models J Huang, JL Horowitz, S Ma | 584 | 2008 |
Efficient estimation for the proportional hazards model with interval censoring J Huang The Annals of Statistics 24 (2), 540-568, 1996 | 566 | 1996 |
Homozygosity mapping with SNP arrays identifies TRIM32, an E3 ubiquitin ligase, as a Bardet–Biedl syndrome gene (BBS11) AP Chiang, JS Beck, HJ Yen, MK Tayeh, TE Scheetz, RE Swiderski, ... Proceedings of the National Academy of Sciences 103 (16), 6287-6292, 2006 | 542 | 2006 |
A selective review of group selection in high-dimensional models J Huang, P Breheny, S Ma Statistical science: a review journal of the Institute of Mathematical …, 2012 | 480 | 2012 |
A group bridge approach for variable selection J Huang, S Ma, H Xie, CH Zhang Biometrika 96 (2), 339-355, 2009 | 398 | 2009 |
Choriocapillaris vascular dropout related to density of drusen in human eyes with early age-related macular degeneration RF Mullins, MN Johnson, EA Faidley, JM Skeie, J Huang Investigative ophthalmology & visual science 52 (3), 1606-1612, 2011 | 382 | 2011 |
MATS: a Bayesian framework for flexible detection of differential alternative splicing from RNA-Seq data S Shen, JW Park, J Huang, KA Dittmar, Z Lu, Q Zhou, RP Carstens, Y Xing Nucleic acids research 40 (8), e61-e61, 2012 | 367 | 2012 |
Penalized feature selection and classification in bioinformatics S Ma, J Huang Briefings in bioinformatics 9 (5), 392-403, 2008 | 343 | 2008 |
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors P Breheny, J Huang Statistics and computing 25, 173-187, 2015 | 332 | 2015 |
Regulation of gene expression in the mammalian eye and its relevance to eye disease TE Scheetz, KYA Kim, RE Swiderski, AR Philp, TA Braun, KL Knudtson, ... Proceedings of the National Academy of Sciences 103 (39), 14429-14434, 2006 | 327 | 2006 |
Interval censored survival data: a review of recent progress J Huang, JA Wellner Proceedings of the first Seattle symposium in biostatistics: survival …, 1997 | 318 | 1997 |
Penalized methods for bi-level variable selection P Breheny, J Huang Statistics and its interface 2 (3), 369, 2009 | 312 | 2009 |
Supervised group Lasso with applications to microarray data analysis S Ma, X Song, J Huang BMC bioinformatics 8, 1-17, 2007 | 312 | 2007 |
Evidence supporting WNT2 as an autism susceptibility gene TH Wassink, J Piven, VJ Vieland, J Huang, RE Swiderski, J Pietila, ... American journal of medical genetics 105 (5), 406-413, 2001 | 278 | 2001 |
Sieve estimation for the proportional-odds failure-time regression model with interval censoring J Huang, AJ Rossini Journal of the American Statistical Association 92 (439), 960-967, 1997 | 228 | 1997 |
Regularized ROC method for disease classification and biomarker selection with microarray data S Ma, J Huang Bioinformatics 21 (24), 4356-4362, 2005 | 223 | 2005 |