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Human Heredity|December 10, 2009
Test selection with application to detecting disease association with multiple SNPsWei Pan, Fang Han, Xiaotong ShenHGG Advances|August 29, 2024
Enhancing personalized gene expression prediction from DNA sequences using genomic foundation modelsPratik Ramprasad, Nidhi Pai, Wei PanGenetic Epidemiology|September 30, 2024
Enhancing Gene Expression Predictions Using Deep Learning and Functional AnnotationsPratik Ramprasad, Jingchen Ren, Wei PanZhongguo Dang Dai Er Ke Za Zhi = Chinese Journal of Contemporary Pediatrics|October 21, 2006
[Serum levels of IFN-gamma and IL-4 in children with Mycoplasmal pneumonia at the acute phase]Wei Pan, Zhong Xu, Bai-Hong ZhengBioinformatics (Oxford, England)|September 29, 2005
A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray dataYang Xie, Wei Pan, Arkady B KhodurskyJournal of Affective Disorders|March 30, 2022
Risk factors for depression in the elderly: An umbrella review of published meta-analyses and systematic reviewsQian Wu, Jian Feng, Chen-Wei PanJournal of Youth and Adolescence|May 18, 2021
Race/Ethnicity, Parental Support, and Youth Depressive Symptoms: A Moderated Longitudinal Mediation AnalysisAllison McCord Stafford, Hideyo Tsumura, Wei PanGenome Biology|June 7, 2002
How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approachWei Pan, Jizhen Lin, Chap T LeFunctional & Integrative Genomics|July 5, 2003
A mixture model approach to detecting differentially expressed genes with microarray dataWei Pan, Jizhen Lin, Chap T LeNeuroimage|September 8, 2020
Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary dataKatherine A Knutson, Yangqing Deng, Wei PanPageof 272