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
These publication tags are generated from the output of this researcher. Click any tag below to view other Huck researchers working on the same topic.
Proteins Binding Sites Dna Genes Rna Unigenes Predictions Feature Selection Rna Binding Protein China Deep Sequencing Prunus Blood Vessels Varying Coefficient Model Covariates Rna Binding Proteins Populus Euphratica Color Protein Switches Nucleotides Screening Microsatellite Repeats Population Genome Wide Association StudyMost Recent Publications
Prolonged lymphopenia and prognoses among inpatients with different respiratory virus infections: A retrospective cohort study
Guohui fan, Wuyue Yang, Dingyi Wang, Feiya Xu, Yeming Wang, Chaozeng Si, Zhenguo Zhai, Zhongjie Li, Rongling Wu, Bin Cao, Weizhong Yang, 2024, Heliyon
Concentration properties of biopolymers via dead-end forward osmosis
Da Qi Cao, Yan Jin, Hui Liu, Shi Cheng Lei, Yi Xuan Song, Jia Lin Han, Xiao Di Hao, Ming Guo Ma, Zhongguo Zhang, Rongling Wu, 2024, International Journal of Biological Macromolecules
Spatial dynamics of higher order rock-paper-scissors and generalisations
Christopher Griffin, Li Feng, Rongling Wu, 2024, Journal of Physics A: Mathematical and Theoretical
Contact-electro-catalysis for degradation of trace antibiotics in wastewater
Da Qi Cao, Rong Kun Fang, Yi Xuan Song, Ming Guo Ma, Haiyan Li, Xiao Di Hao, Rongling Wu, Xiangyu Chen, 2024, Chemical Engineering Journal
功能作图的混合效应模型开发
Zijian Wang, Meixia Ye, Han Zhang, Rongling Wu, 2024, Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University on p. 163-172
The role of melatonin receptor 1B gene (MTNR1B) in the susceptibility to depression and type 2 diabetes comorbidity
Mutaz Amin, Benjamin Rafla, Rongling Wu, Teodor T. Postolache, Claudia Gragnoli, 2024, Genes and Diseases
The prolactin receptor (PRLR) gene is linked to and associated with the comorbidity of depression and type 2 diabetes in Italian families
Mutaz Amin, Rongling Wu, Teodor T. Postolache, Claudia Gragnoli, 2024, Genes and Diseases
Unlocking allelic variation in circadian clock genes to develop environmentally robust and productive crops
Sangam Lal Dwivedi, Luis Felipe Quiroz, Charles Spillane, Rongling Wu, Autar K. Mattoo, Rodomiro Ortiz, 2024, Planta
Genome-Wide Network Analysis of Above- and Below-Ground Co-growth in Populus euphratic
Kaiyan Lu, Huiying Gong, Dengcheng Yang, Meixia Ye, Qing Fang, Xiao Yu Zhang, Rongling Wu, 2024, Plant Phenomics
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
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
A regulatory network for mir156-spl module in arabidopsis thaliana
Chenfei Zheng, Meixia Ye, Mengmeng Sang, Rongling Wu, 2019, International Journal of Molecular Sciences
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
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
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
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
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