Rongling Wu
Director of the Center for Statistical Genetics; Professor of Public Health Sciences

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Hershey Med Ctr
University Park, PA - rxw35@psu.edu
- 717-531-0003
Huck Affiliations
Publication Tags
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Proteins Binding Sites Genes Dna Rna Blood Vessels Grafting (Plants) Feature Selection Prunus Predictions China Varying Coefficient Model Color Rna Binding Proteins Covariates Genome Protein Switches Nucleotides Screening Microsatellite Repeats Population Genome Wide Association Study Machine Learning MarkerMost Recent Publications
Novel corticotropin-releasing hormone receptor genes (CRHR1 and CRHR2) linkage to and association with polycystic ovary syndrome
Mutaz Amin, Nicholas Horst, Rongling Wu, Claudia Gragnoli, 2023, Journal of Ovarian Research
idopNetwork: A network tool to dissect spatial community ecology
Ang Dong, Shuang Wu, Jincan Che, Yu Wang, Rongling Wu, 2023, Methods in Ecology and Evolution on p. 2272-2283
A personalized pharmaco-epistatic network model of precision medicine
Li Feng, Wuyue Yang, Mengdong Ding, Luke Hou, Claudia Gragnoli, Christopher Griffin, Rongling Wu, 2023, Drug Discovery Today
Higher-order dynamics in the replicator equation produce a limit cycle in rock-paper-scissors
Christopher Griffin, Rongling Wu, 2023, Europhysics Letters
Novel Risk Variants in the Oxytocin Receptor Gene (OXTR) Possibly Linked to and Associated with Familial Type 2 Diabetes
Mutaz Amin, Rongling Wu, Claudia Gragnoli, 2023, International Journal of Molecular Sciences
Critical Size and Formation Mechanism of Secondary Nuclei in Melt-Crystallized Polylactide Stereocomplex Crystals
Zhiqi Wang, Ranlong Duan, Xuan Pang, Rongling Wu, Baohua Guo, Jun Xu, 2023, Macromolecules on p. 999-1012
Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits
Han Zhang, Yige Cao, Zijian Wang, Meixia Ye, Rongling Wu, 2023, Plants
A Cartographic Tool to Predict Disease Risk-associated Pseudo-Dynamic Networks from Tissue-specific Gene Expression
Chixiang Chen, Biyi Shen, Lijun Zhang, Tonghui Yu, Ming Wang, Rongling Wu, 2023, Bio-protocol
Genome-wide identification and expression analysis of AUX/LAX family genes in Chinese hickory (Carya cathayensis Sarg.) Under various abiotic stresses and grafting
Ying Yang, Jiayan Wang, Yan Xu, Farhat Abbas, Dongbin Xu, Shenchen Tao, Xiaoting Xie, Feng Song, Qiaoyu Huang, Anket Sharma, Luqing Zheng, Daoliang Yan, Xiaofei Wang, Bingsong Zheng, Huwei Yuan, Rongling Wu, Yi He, 2023, Frontiers in Plant Science
Genome-wide analysis of TPX2 gene family in Populus trichocarpa and its specific response genes under various abiotic stresses
Meng Qi, Shengjie Wang, Na Li, Lingfeng Li, Yue Zhang, Jingyi Xue, Jingyi Wang, Rongling Wu, Na Lian, 2023, Frontiers in Plant Science
Most-Cited Papers
Methodological implementation of mixed linear models in multi-locus genome-wide association studies
Yang Jun Wen, Hanwen Zhang, Yuan Li Ni, Bo Huang, Jin Zhang, Jian Ying Feng, Shi Bo Wang, Jim M. Dunwell, Yuan Ming Zhang, Rongling Wu, 2018, Briefings in Bioinformatics on p. 700-712
Feature selection for varying coefficient models with ultrahigh-dimensional covariates
Jingyuan Liu, Runze Li, Rongling Wu, 2014, Journal of the American Statistical Association on p. 266-274
Plant grafting: how genetic exchange promotes vascular reconnection
Jing Wang, Libo Jiang, Rongling Wu, 2017, New Phytologist on p. 56-65
The genetic architecture of floral traits in the woody plant Prunus mume
Qixiang Zhang, He Zhang, Lidan Sun, Guangyi Fan, Meixia Ye, Libo Jiang, Xin Liu, Kaifeng Ma, Chengcheng Shi, Fei Bao, Rui Guan, Yu Han, Yuanyuan Fu, Huitang Pan, Zhaozhe Chen, Liangwei Li, Jia Wang, Meiqi Lv, Tangchun Zheng, Cunquan Yuan, Yuzhen Zhou, Simon Ming Yuen Lee, Xiaolan Yan, Xun Xu, Rongling Wu, Wenbin Chen, Tangren Cheng, 2018, Nature Communications
A regulatory network for mir156-spl module in arabidopsis thaliana
Chenfei Zheng, Meixia Ye, Mengmeng Sang, Rongling Wu, 2019, International Journal of Molecular Sciences
Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome
Teodor T. Postolache, Laura del Bosque-Plata, Serge Jabbour, Michael Vergare, Rongling Wu, Claudia Gragnoli, 2019, American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics on p. 186-203
An overview of the prediction of protein DNA-binding sites
Jingna Si, Rui Zhao, Rongling Wu, 2015, International Journal of Molecular Sciences on p. 5194-5215
Deep-sequencing transcriptome analysis of low temperature perception in a desert tree, Populus euphratica
Jinhuan Chen, Qianqian Tian, Tao Pang, Libo Jiang, Rongling Wu, Xinli Xia, Weilun Yin, 2014, BMC Genomics
High-level genetic diversity and complex population structure of Siberian apricot (Prunus sibirica L.) in China as revealed by nuclear SSR markers
Zhe Wang, Ming Kang, Huabo Liu, Jiao Gao, Zhengdong Zhang, Yingyue Li, Rongling Wu, Xiaoming Pang, 2014, PLoS One
Computational prediction of RNA-binding proteins and binding sites
Jingna Si, Jing Cui, Jin Cheng, Rongling Wu, 2015, International Journal of Molecular Sciences on p. 26303-26317
News Articles Featuring Rongling Wu
Nov 08, 2019
Personalized gene networks may enhance study of disease
Researchers at Penn State College of Medicine have developed a new method to model how genes interact with each other — and it may someday contribute to the development of personalized treatments for patients.
Full Article
Nov 07, 2019
New method to construct personalized gene networks may contribute to personalized treatments
Researchers at Penn State College of Medicine have developed a new method to model how genes interact with each other -- and it may someday contribute to the development of personalized treatments for patients.
Full Article
Nov 07, 2019
Personalized gene networks enhance study of disease
Researchers at Penn State College of Medicine have developed a new method to model how genes interact with each other—and it may someday contribute to the development of personalized treatments for patients.
Full Article