Qianchuan He

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All published works

Action	Title	Year	Authors
+	Structured testing of genetic association with mixed clinical outcomes	2024	Meiling Liu Yu‐Ru Su Yang Liu Li Hsu Qianchuan He
+ PDF Chat	Noncoding RNAs and Deep Learning Neural Network Discriminate Multi-Cancer Types	2022	Anyou Wang Rong Hai Paul J. F. Rider Qianchuan He
+	Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis	2021	Matthew Pietrosanu Haoxu Shu Bei Jiang Linglong Kong Giseon Heo Qianchuan He John H. Gilmore Hongtu Zhu
+ PDF Chat	Random-effect based test for multinomial logistic regression: choice of the reference level and its impact on the testing	2021	Qianchuan He Yang Liu Meiling Liu Michael C. Wu Li Hsu
+	Noncoding RNAs and deep learning neural network discriminate multi-cancer types	2021	Anyou Wang Rong Hai Paul J. F. Rider Qianchuan He
+ PDF Chat	Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits	2015	Qianchuan He Linglong Kong Yanhua Wang Sijian Wang Timothy A. Chan Eric C. Holland
+ PDF Chat	Sparse meta-analysis with high-dimensional data	2015	Qianchuan He Hao Helen Zhang Christy L. Avery D. Y. Lin
+	Estimation for bivariate quantile varying coefficient model	2015	Linglong Kong Haoxu Shu Giseon Heo Qianchuan He
+	Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits	2015	Qianchuan He Linglong Kong Yanhua Wang Sijian Wang Timothy A. Chan Eric C. Holland
+ PDF Chat	A General Framework for Association Tests With Multivariate Traits in Large‐Scale Genomics Studies	2013	Qianchuan He Christy L. Avery D. Y. Lin
+ PDF Chat	A Quantitative System for Discriminating Induced Pluripotent Stem Cells, Embryonic Stem Cells and Somatic Cells	2013	Anyou Wang Ying Du Qianchuan He Chunxiao Zhou

Common Coauthors

Coauthor	Papers Together
Linglong Kong	4
Anyou Wang	3
Timothy A. Chan	2
Sijian Wang	2
Paul J. F. Rider	2
Rong Hai	2
Christy L. Avery	2
Haoxu Shu	2
D. Y. Lin	2
Meiling Liu	2
Eric C. Holland	2
Giseon Heo	2
Li Hsu	2
Ying Du	1
Bei Jiang	1
Matthew Pietrosanu	1
Yu‐Ru Su	1
John H. Gilmore	1
Hongtu Zhu	1
Hao Helen Zhang	1
Chunxiao Zhou	1
Yanhua Wang	1
Yang Liu	1
Yang Liu	1
Yanhua Wang	1
Michael C. Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	5
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	4
+ PDF Chat	EFFICIENT REGRESSIONS VIA OPTIMALLY COMBINING QUANTILE INFORMATION	2014	Zhibiao Zhao Zhijie Xiao	4
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	3
+ PDF Chat	Propagation-Separation Approach for Local Likelihood Estimation	2005	Jörg Polzehl Vladimir Spokoiny	2
+	Asymptotic Confidence Regions for Kernel Smoothing of a Varying-Coefficient Model with Longitudinal Data	1998	Colin O. Wu Chin‐Tsang Chiang Donald R. Hoover	2
+	Regularized simultaneous model selection in multiple quantiles regression	2008	Hui Zou Ming Yuan	2
+ PDF Chat	VARIABLE SELECTION IN QUANTILE REGRESSION	2009	Yichao Wu Yufeng Liu	2
+ PDF Chat	Interquantile shrinkage and variable selection in quantile regression	2013	Liewen Jiang Howard D. Bondell Huixia Wang	2
+ PDF Chat	Adaptive Weights Smoothing with Applications to Image Restoration	2000	Jöorg Polzehl Vladimir Spokoiny	2
+	Hierarchically penalized Cox regression with grouped variables	2009	Shiqi Wang Bin Nan Nenghui Zhu Ji Zhu	2
+ PDF Chat	An interior point algorithm for nonlinear quantile regression	1996	Roger Koenker Beum J. Park	2
+ PDF Chat	Quantile regression for longitudinal data	2004	Roger Koenker	2
+ PDF Chat	Multiscale Adaptive Regression Models for Neuroimaging Data	2011	Yimei Li Hongtu Zhu Dinggang Shen Weili Lin John H. Gilmore Joseph G. Ibrahim	2
+ PDF Chat	Penalized Composite Quasi-Likelihood for Ultrahigh Dimensional Variable Selection	2011	Jelena Bradić Jianqing Fan Weiwei Wang	2
+ PDF Chat	Statistical inferences for functional data	2007	Jin‐Ting Zhang Jianwei Chen	2
+ PDF Chat	Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities	2014	Hongtu Zhu Jianqing Fan Linglong Kong	2
+ PDF Chat	Quantile tomography: using quantiles with multivariate data	2011	Linglong Kong Ivan Mizera	2
+ PDF Chat	Quantile regression in partially linear varying coefficient models	2009	Huixia Wang Zhongyi Zhu Jianhui Zhou	2
+ PDF Chat	<i>SparseNet</i>: Coordinate Descent With Nonconvex Penalties	2011	Rahul Mazumder Jerome H. Friedman Trevor Hastie	2
+	Mathematics and the Picturing of Data	1975	John W. Tukey	2
+	Functional data analysis of generalized regression quantiles	2013	Mengmeng Guo Lan Zhou Jianhua Z. Huang Wolfgang Karl Härdle	2
+ PDF Chat	Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension	2012	Lan Wang Yichao Wu Runze Li	2
+ PDF Chat	A group bridge approach for variable selection	2009	Jian Huang Shuange Ma Huiliang Xie Cun-Hui Zhang	2
+	Quantile Regression in Reproducing Kernel Hilbert Spaces	2007	Youjuan Li Yufeng Liu Ji Zhu	2
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	2
+ PDF Chat	Interquantile Shrinkage in Regression Models	2013	Liewen Jiang Huixia Wang Howard D. Bondell	2
+	Multiplier and gradient methods	1969	Magnus R. Hestenes	2
+	Bayesian quantile regression	2001	Keming Yu Rana Moyeed	1
+	On a Geometric Notion of Quantiles for Multivariate Data	1996	Probal Chaudhuri	1
+ PDF Chat	Nonparametric Quantile Estimations for Dynamic Smooth Coefficient Models	2009	Zongwu Cai Xiaoping Xu	1
+	A Two‐Part Joint Model for the Analysis of Survival and Longitudinal Binary Data with Excess Zeros	2007	Dimitris Rizopoulos Geert Verbeke Emmanuel Lesaffre Yves Vanrenterghem	1
+	Quantile Regression	2005	Roger Koenker	1
+ PDF Chat	An efficient Monte Carlo approach to assessing statistical significance in genomic studies	2004	D. Y. Lin	1
+ PDF Chat	Correlated bivariate continuous and binary outcomes: Issues and applications	2009	Armando Teixeira‐Pinto Sharon‐Lise T. Normand	1
+	Meta-analysis in clinical trials	1986	Rebecca DerSimonian Nan M. Laird	1
+ PDF Chat	Group variable selection via a hierarchical lasso and its oracle property	2010	Nengfeng Zhou Ji Zhu	1
+ PDF Chat	FADTTS: Functional analysis of diffusion tensor tract statistics	2011	Hongtu Zhu Linglong Kong Runze Li Martin Styner Guido Gerig Weili Lin John H. Gilmore	1
+ PDF Chat	Mean diffusivity and fractional anisotropy as indicators of disease and genetic liability to schizophrenia	2011	Kristi A. Clark Keith H. Nuechterlein Robert F. Asarnow Liberty S. Hamilton Owen R. Phillips Nathan Hageman Roger P. Woods Jeffry R. Alger Arthur W. Toga Katherine L. Narr	1
+	Quantile and probability curves without crossing	2007	Iván Fernández‐Val Victor Chernozhukov Alfred Galichon	1
+ PDF Chat	Noncrossing quantile regression curve estimation	2010	Howard D. Bondell Brian J. Reich Huixia Wang	1
+	Procedures for Comparing Samples with Multiple Endpoints	1984	Peter C. O’Brien	1
+	Variable selection for multiply‐imputed data with application to dioxin exposure study	2013	Qixuan Chen Sijian Wang	1
+	Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses	2009	Dan Jackson Ian R. White Simon G. Thompson	1
+	Longitudinal data analysis using generalized linear models	1986	Kung‐Yee Liang Scott L. Zeger	1
+	Joint Analysis of Functional Genomic Data and Genome-wide Association Studies of 18 Human Traits	2014	Joseph K. Pickrell	1
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	1
+ PDF Chat	So Many Correlated Tests, So Little Time! Rapid Adjustment of P Values for Multiple Correlated Tests	2007	Karen N. Conneely Michael Boehnke	1
+	Tukey depth: linear programming and applications	2016	Pavlo Mozharovskyi	1
+	Varying-Coefficient Models	1993	Trevor Hastie Robert Tibshirani	1