default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWei Pan 0011
Person information
- affiliation: University of Minnesota, School of Public Health, Division of Biostatistics and Health Data Science, Minneapolis, MN, USA
Other persons with the same name
- Wei Pan — disambiguation page
- Wei Pan 0001 — Intel, Waterloo, Canada (and 1 more)
- Wei Pan 0002 — MIT Media Lab, Human Dynamics Group, MA, USA
- Wei Pan 0003
![[0000-0003-2410-9935]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2410-9935")
— Duke University, Durham, NC, USA (and 2 more) - Wei Pan 0004 — University of Manchester, UK (and 2 more)
- Wei Pan 0005 — University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China (and 1 more)
- Wei Pan 0006 — Imperial College London, Department of Mathematics, UK
- Wei Pan 0007 — Northwestern Polytechnical University, School of Computer Science and Engineering, Xian, China
- Wei Pan 0008 — Southwest Jiaotong University, Center for Information Photonics and Communications, School of Information Science and Technology, Chengdu, China
- Wei Pan 0009 — Changshu Institute of Technology, School of Computer Science and Engineering, China (and 1 more)
- Wei Pan 0010 — OPT Machine Vision Tech Co., Ltd., Dongguan, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j39]Yuchen Yao, Zhaotong Lin, Xiaotong Shen, Lin Yee Chen, Wei Pan:
Extracting Genetically-Imputed Causal Features From ECG Data. Stat. Anal. Data Min. 18(4) (2025)- 2024
- [j38]Ben Dai, Xiaotong Shen, Wei Pan:
Significance Tests of Feature Relevance for a Black-Box Learner. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1898-1911 (2024) - 2021
- [j37]Tianzhong Yang, Peng Wei, Wei Pan:
Integrative analysis of multi-omics data for discovering low-frequency variants associated with low-density lipoprotein cholesterol levels. Bioinform. 36(21): 5223-5228 (2021) - [j36]Yangqing Deng, Wei Pan:
Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies. PLoS Comput. Biol. 17(8) (2021) - 2020
- [j35]Katherine A. Knutson, Yangqing Deng, Wei Pan:
Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary data. NeuroImage 223: 117347 (2020) - [j34]Yangqing Deng, Wei Pan:
A powerful and versatile colocalization test. PLoS Comput. Biol. 16(4) (2020) - [j33]Jack Pattee, Wei Pan:
Penalized regression and model selection methods for polygenic scores on summary statistics. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2019
- [j32]Zhong Zhuang, Xiaotong Shen, Wei Pan:
A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data. Bioinform. 35(17): 2899-2906 (2019) - [j31]Chong Wu, Wei Pan:
Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genes. Bioinform. 35(19): 3576-3583 (2019) - 2017
- [j30]Il-Youp Kwak, Wei Pan:
Gene- and pathway-based association tests for multiple traits with GWAS summary statistics. Bioinform. 33(1): 64-71 (2017) - [j29]Zhiyuan Xu, Chong Wu, Wei Pan:
Imaging-wide association study: Integrating imaging endophenotypes in GWAS. NeuroImage 159: 159-169 (2017) - 2016
- [j28]Binghui Liu, Xiaotong Shen, Wei Pan:
Nonlinear joint latent variable models and integrative tumor subtype discovery. Stat. Anal. Data Min. 9(2): 106-116 (2016) - 2015
- [j27]Junghi Kim, Jeffrey R. Wozniak, Bryon A. Mueller, Wei Pan:
Testing Group Differences in Brain Functional Connectivity: Using Correlations or Partial Correlations? Brain Connect. 5(4): 214-231 (2015) - [j26]Junghi Kim, Wei Pan:
A cautionary note on using secondary phenotypes in neuroimaging genetic studies. NeuroImage 121: 136-145 (2015) - 2013
- [j25]Erin Austin, Wei Pan, Xiaotong Shen:
Penalized regression and risk prediction in genome-wide association studies. Stat. Anal. Data Min. 6(4): 315-328 (2013) - 2012
- [j24]Yiping Yuan, Xiaotong Shen, Wei Pan:
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs. Stat. Anal. Data Min. 5(6): 523-530 (2012) - 2010
- [j23]Benhuai Xie, Wei Pan, Xiaotong Shen:
Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data. Bioinform. 26(4): 501-508 (2010)
2000 – 2009
- 2009
- [j22]Wei Pan:
Network-based multiple locus linkage analysis of expression traits. Bioinform. 25(11): 1390-1396 (2009) - [j21]Yanni Zhu, Xiaotong Shen, Wei Pan:
Network-based support vector machine for classification of microarray samples. BMC Bioinform. 10(S-1) (2009) - 2008
- [j20]Peng Wei, Wei Pan:
Incorporating gene networks into statistical tests for genomic data via a spatially correlated mixture model. Bioinform. 24(3): 404-411 (2008) - [j19]Peng Wei, Wei Pan:
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. 5(3): 401-415 (2008) - [c1]Wei Pan, Peng Wei, Arkady B. Khodursky:
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 2008: 465-476 - 2007
- [j18]Feng Tai, Wei Pan:
Incorporating prior knowledge of predictors into penalized classifiers with multiple penalty terms. Bioinform. 23(14): 1775-1782 (2007) - [j17]Feng Tai, Wei Pan:
Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data. Bioinform. 23(23): 3170-3177 (2007) - [j16]Aixiang Jiang, Wei Pan, Liming C. Milbauer, Yu Shyr, Robert P. Hebbel:
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. 5(4): 875-893 (2007) - 2006
- [j15]Wei Pan:
Incorporating gene functions as priors in model-based clustering of microarray gene expression data. Bioinform. 22(7): 795-801 (2006) - [j14]Desheng Huang, Wei Pan:
Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data. Bioinform. 22(10): 1259-1268 (2006) - [j13]Wei Pan, Xiaotong Shen, Aixiang Jiang, Robert P. Hebbel:
Semi-supervised learning via penalized mixture model with application to microarray sample classification. Bioinform. 22(19): 2388-2395 (2006) - [j12]Yi He, Wei Pan, Jizhen Lin:
Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data. Comput. Stat. Data Anal. 51(2): 641-658 (2006) - 2005
- [j11]Yang Xie, Wei Pan, Arkady B. Khodursky:
A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data. Bioinform. 21(23): 4280-4288 (2005) - [j10]Xiaohong Huang, Wei Pan, Suzanne Grindle, Xinqiang Han, Yingjie Chen, Soon J. Park, Leslie W. Miller, Jennifer Hall:
A comparative study of discriminating human heart failure etiology using gene expression profiles. BMC Bioinform. 6: 205 (2005) - [j9]Xiaohong Huang, Wei Pan, Xinqiang Han, Yingjie Chen, Leslie W. Miller, Jennifer Hall:
Borrowing information from relevant microarray studies for sample classification using weighted partial least squares. Comput. Biol. Chem. 29(3): 204-211 (2005) - [j8]Xu Guo, Wei Pan:
Using Weighted Permutation Scores to Detect Differential Gene Expression with Microarray Data. J. Bioinform. Comput. Biol. 3(4): 989-1006 (2005) - [j7]Guanghua Xiao, Wei Pan:
Gene Function Prediction by a Combined Analysis of Gene Expression Data and Protein-protein Interaction Data. J. Bioinform. Comput. Biol. 3(6): 1371-1390 (2005) - 2004
- [j6]Xiaohong Huang, Wei Pan, Soon J. Park, Xinqiang Han, Leslie W. Miller, Jennifer Hall:
Modeling the relationship between LVAD support time and gene expression changes in the human heart by penalized partial least squares. Bioinform. 20(6): 888-894 (2004) - 2003
- [j5]Yanli Zhao, Wei Pan:
Modified Nonparametric Approaches to Detecting Differentially Expressed Genes in Replicated Microarray Experiments. Bioinform. 19(9): 1046-1054 (2003) - [j4]Wei Pan:
On the Use of Permutation in and the Performance of A Class of Nonparametric Methods to Detect Differential Gene Expression. Bioinform. 19(11): 1333-1340 (2003) - [j3]Xiaohong Huang, Wei Pan:
Linear regression and two-class classification with gene expression data. Bioinform. 19(16): 2072-2078 (2003) - 2002
- [j2]Wei Pan:
A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments. Bioinform. 18(4): 546-554 (2002)
1990 – 1999
- 1999
- [j1]Wei Pan:
Shrinking classification trees for bootstrap aggregation. Pattern Recognit. Lett. 20(9): 961-965 (1999)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-11-16 02:46 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
