High-dimensional regression over disease subgroups
暂无分享,去创建一个
[1] C. Jack,et al. Ways toward an early diagnosis in Alzheimer’s disease: The Alzheimer’s Disease Neuroimaging Initiative (ADNI) , 2005, Alzheimer's & Dementia.
[2] Joshua M. Stuart,et al. The Cancer Genome Atlas Pan-Cancer analysis project , 2013, Nature Genetics.
[3] Ben Taskar,et al. Joint covariate selection and joint subspace selection for multiple classification problems , 2010, Stat. Comput..
[4] L. Wasserman,et al. HIGH DIMENSIONAL VARIABLE SELECTION. , 2007, Annals of statistics.
[5] Jim Q. Smith,et al. Exact estimation of multiple directed acyclic graphs , 2014, Stat. Comput..
[6] R. Tibshirani,et al. Sparse inverse covariance estimation with the graphical lasso. , 2008, Biostatistics.
[7] Yurii Nesterov,et al. Smooth minimization of non-smooth functions , 2005, Math. Program..
[8] R. Tibshirani,et al. PATHWISE COORDINATE OPTIMIZATION , 2007, 0708.1485.
[9] Sach Mukherjee,et al. Two-sample testing in high dimensions , 2017 .
[10] Sach Mukherjee,et al. Two-Sample Testing in High-Dimensional Models , 2012 .
[11] Xiaohui Xie,et al. Split Bregman method for large scale fused Lasso , 2010, Comput. Stat. Data Anal..
[12] Holger Hoefling. A Path Algorithm for the Fused Lasso Signal Approximator , 2009, 0910.0526.
[13] Jieping Ye,et al. An efficient algorithm for a class of fused lasso problems , 2010, KDD.
[14] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[15] Xi Chen,et al. Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso , 2010, ArXiv.
[16] Michael W. Weiner,et al. Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease , 2016, Alzheimer's & Dementia.
[17] Adam A. Margolin,et al. The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity , 2012, Nature.
[18] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[19] Prahlad T. Ram,et al. A pan-cancer proteomic perspective on The Cancer Genome Atlas , 2014, Nature Communications.
[20] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[21] Johann S. Hawe,et al. Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression , 2014, Nature Biotechnology.
[22] Joe W. Gray,et al. Joint estimation of multiple networks from time course data , 2013 .
[23] R. Tibshirani,et al. A SIGNIFICANCE TEST FOR THE LASSO. , 2013, Annals of statistics.
[24] Patrick Danaher,et al. The joint graphical lasso for inverse covariance estimation across multiple classes , 2011, Journal of the Royal Statistical Society. Series B, Statistical methodology.