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2020 – today
- 2023
[j9]Yang Hai
, Jixiang Ma, Kaixin Yang, Yalu Wen:
Bayesian linear mixed model with multiple random effects for prediction analysis on high-dimensional multi-omics data. Bioinform. 39(10) (2023)- 2022
- [j8]Xiaqiong Wang, Yalu Wen:
A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data. Briefings Bioinform. 23(4) (2022) - [j7]Xiaqiong Wang, Yalu Wen:
A penalized linear mixed model with generalized method of moments estimators for complex phenotype prediction. Bioinform. 38(23): 5222-5228 (2022) - [j6]Long Liu, Qingyu Meng, Cherry Weng, Qing Lu, Tong Wang, Yalu Wen:
Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data. PLoS Comput. Biol. 18(7) (2022) - 2021
- [j5]Yang Hai, Yalu Wen:
A Bayesian linear mixed model for prediction of complex traits. Bioinform. 36(22-23): 5415-5423 (2021) - 2020
- [j4]Jun Li, Qing Lu, Yalu Wen:
Multi-kernel linear mixed model with adaptive lasso for prediction analysis on high-dimensional multi-omics data. Bioinform. 36(6): 1785-1794 (2020) - [j3]Xiaqiong Wang, Yalu Wen:
A U-statistics for integrative analysis of multilayer omics data. Bioinform. 36(8): 2365-2374 (2020)
2010 – 2019
- 2016
- [j2]Yalu Wen, Fushun Chen, Qingzheng Zhang, Yan Zhuang, Zhiguang Li:
Detection of differentially methylated regions in whole genome bisulfite sequencing data using local Getis-Ord statistics. Bioinform. 32(22): 3396-3404 (2016) - 2013
- [j1]Yalu Wen, Ming Li, Wenjiang J. Fu:
Catching the Genomic Wave in Oligonucleotide Single-Nucleotide Polymorphism Arrays by Modeling Sequence Binding. J. Comput. Biol. 20(7): 514-523 (2013)
Coauthor Index
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