Wei Pan - RankMe

54 papers Misc 1Journal 52Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Extracting Genetically-Imputed Causal Features From ECG Data. Stat. Anal. Data Min. Yuchen Yao, Zhaotong Lin, Xiaotong Shen, Lin Yee Chen, Wei Pan
2024	J	`jnl`	Causal Discovery with Generalized Linear Models through Peeling Algorithms. J. Mach. Learn. Res. Minjie Wang, Xiaotong Shen, Wei Pan
2024	—	`conf`	Inference of nonlinear causal effects with application to TWAS with GWAS summary data. CLeaR Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen
2024	J	`jnl`	Significance Tests of Feature Relevance for a Black-Box Learner. IEEE Trans. Neural Networks Learn. Syst. Ben Dai, Xiaotong Shen, Wei Pan
2023	J	`jnl`	Inference for a Large Directed Acyclic Graph with Unspecified Interventions. J. Mach. Learn. Res. Chunlin Li, Xiaotong Shen, Wei Pan
2022	J	`jnl`	Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation. CoRR Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan
2021	J	`jnl`	Integrative analysis of multi-omics data for discovering low-frequency variants associated with low-density lipoprotein cholesterol levels. Bioinform. Tianzhong Yang, Peng Wei, Wei Pan
2021	J	`jnl`	Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies. PLoS Comput. Biol. Yangqing Deng, Wei Pan
2021	J	`jnl`	Significance tests of feature relevance for a blackbox learner. CoRR Ben Dai, Xiaotong Shen, Wei Pan
2021	J	`jnl`	Two-level monotonic multistage recommender systems. CoRR Ben Dai, Xiaotong Shen, Wei Pan
2020	J	`jnl`	A Regularization-Based Adaptive Test for High-Dimensional GLMs. J. Mach. Learn. Res. Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan
2020	J	`jnl`	A powerful and versatile colocalization test. PLoS Comput. Biol. Yangqing Deng, Wei Pan
2020	J	`jnl`	Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary data. NeuroImage Katherine A. Knutson, Yangqing Deng, Wei Pan
2020	J	`jnl`	Penalized regression and model selection methods for polygenic scores on summary statistics. PLoS Comput. Biol. Jack Pattee, Wei Pan
2019	J	`jnl`	A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data. Bioinform. Zhong Zhuang, Xiaotong Shen, Wei Pan
2019	J	`jnl`	Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genes. Bioinform. Chong Wu, Wei Pan
2017	J	`jnl`	Gene- and pathway-based association tests for multiple traits with GWAS summary statistics. Bioinform. Il-Youp Kwak, Wei Pan
2017	J	`jnl`	Imaging-wide association study: Integrating imaging endophenotypes in GWAS. NeuroImage Zhiyuan Xu, Chong Wu, Wei Pan
2016	J	`jnl`	A New Algorithm and Theory for Penalized Regression-based Clustering. J. Mach. Learn. Res. Chong Wu, Sunghoon Kwon, Xiaotong Shen, Wei Pan
2016	J	`jnl`	Nonlinear joint latent variable models and integrative tumor subtype discovery. Stat. Anal. Data Min. Binghui Liu, Xiaotong Shen, Wei Pan
2015	J	`jnl`	A cautionary note on using secondary phenotypes in neuroimaging genetic studies. NeuroImage Junghi Kim, Wei Pan
2015	J	`jnl`	Testing Group Differences in Brain Functional Connectivity: Using Correlations or Partial Correlations? Brain Connect. Junghi Kim, Jeffrey R. Wozniak, Bryon A. Mueller, Wei Pan
2014	J	`jnl`	Comparison of statistical tests for group differences in brain functional networks. NeuroImage Junghi Kim, Jeffrey R. Wozniak, Bryon A. Mueller, Xiaotong Shen, Wei Pan
2014	J	`jnl`	Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data. NeuroImage Yiwei Zhang, Zhiyuan Xu, Xiaotong Shen, Wei Pan
2013	J	`jnl`	Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty. J. Mach. Learn. Res. Wei Pan, Xiaotong Shen, Binghui Liu
2013	J	`jnl`	Penalized regression and risk prediction in genome-wide association studies. Stat. Anal. Data Min. Erin Austin, Wei Pan, Xiaotong Shen
2012	J	`jnl`	Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs. Stat. Anal. Data Min. Yiping Yuan, Xiaotong Shen, Wei Pan
2011	J	`jnl`	Large Margin Hierarchical Classification with Mutually Exclusive Class Membership. J. Mach. Learn. Res. Huixin Wang, Xiaotong Shen, Wei Pan
2010	J	`jnl`	Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data. Bioinform. Benhuai Xie, Wei Pan, Xiaotong Shen
2009	J	`jnl`	Network-based multiple locus linkage analysis of expression traits. Bioinform. Wei Pan
2009	J	`jnl`	Network-based support vector machine for classification of microarray samples. BMC Bioinform. Yanni Zhu, Xiaotong Shen, Wei Pan
2009	J	`jnl`	On Efficient Large Margin Semisupervised Learning: Method and Theory. J. Mach. Learn. Res. Junhui Wang, Xiaotong Shen, Wei Pan
2008	Misc	`conf`	A Parametric Joint Model of DNA-Protein Binding, Gene Expression and DNA Sequence Data to Detect Target Genes of a Transcription Factor. Pacific Symposium on Biocomputing Wei Pan, Peng Wei, Arkady B. Khodursky
2008	J	`jnl`	Incorporating Gene Functions into Regression Analysis of DNA-Protein Binding Data and Gene Expression Data to Construct Transcriptional Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Peng Wei, Wei Pan
2008	J	`jnl`	Incorporating gene networks into statistical tests for genomic data via a spatially correlated mixture model. Bioinform. Peng Wei, Wei Pan
2007	J	`jnl`	A Practical Question Based on Cross-Platform microarray Data Normalization: are Boec More Like Large Vessel or microvascular Endothelial Cells or Neither of Them? J. Bioinform. Comput. Biol. Aixiang Jiang, Wei Pan, Liming C. Milbauer, Yu Shyr, Robert P. Hebbel
2007	J	`jnl`	Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data. Bioinform. Feng Tai, Wei Pan
2007	J	`jnl`	Incorporating prior knowledge of predictors into penalized classifiers with multiple penalty terms. Bioinform. Feng Tai, Wei Pan
2007	J	`jnl`	Penalized Model-Based Clustering with Application to Variable Selection. J. Mach. Learn. Res. Wei Pan, Xiaotong Shen
2006	J	`jnl`	Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data. Comput. Stat. Data Anal. Yi He, Wei Pan, Jizhen Lin
2006	J	`jnl`	Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data. Bioinform. Desheng Huang, Wei Pan
2006	J	`jnl`	Incorporating gene functions as priors in model-based clustering of microarray gene expression data. Bioinform. Wei Pan
2006	J	`jnl`	Semi-supervised learning via penalized mixture model with application to microarray sample classification. Bioinform. Wei Pan, Xiaotong Shen, Aixiang Jiang, Robert P. Hebbel
2005	J	`jnl`	A comparative study of discriminating human heart failure etiology using gene expression profiles. BMC Bioinform. Xiaohong Huang, Wei Pan, Suzanne Grindle, Xinqiang Han, Yingjie Chen, Soon J. Park, Leslie W. Miller, Jennifer Hall
2005	J	`jnl`	A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data. Bioinform. Yang Xie, Wei Pan, Arkady B. Khodursky
2005	J	`jnl`	Borrowing information from relevant microarray studies for sample classification using weighted partial least squares. Comput. Biol. Chem. Xiaohong Huang, Wei Pan, Xinqiang Han, Yingjie Chen, Leslie W. Miller, Jennifer Hall
2005	J	`jnl`	Gene Function Prediction by a Combined Analysis of Gene Expression Data and Protein-protein Interaction Data. J. Bioinform. Comput. Biol. Guanghua Xiao, Wei Pan
2005	J	`jnl`	Using Weighted Permutation Scores to Detect Differential Gene Expression with Microarray Data. J. Bioinform. Comput. Biol. Xu Guo, Wei Pan
2004	J	`jnl`	Modeling the relationship between LVAD support time and gene expression changes in the human heart by penalized partial least squares. Bioinform. Xiaohong Huang, Wei Pan, Soon J. Park, Xinqiang Han, Leslie W. Miller, Jennifer Hall
2003	J	`jnl`	Linear regression and two-class classification with gene expression data. Bioinform. Xiaohong Huang, Wei Pan
2003	J	`jnl`	Modified Nonparametric Approaches to Detecting Differentially Expressed Genes in Replicated Microarray Experiments. Bioinform. Yanli Zhao, Wei Pan
2003	J	`jnl`	On the Use of Permutation in and the Performance of A Class of Nonparametric Methods to Detect Differential Gene Expression. Bioinform. Wei Pan
2002	J	`jnl`	A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments. Bioinform. Wei Pan
1999	J	`jnl`	Shrinking classification trees for bootstrap aggregation. Pattern Recognit. Lett. Wei Pan