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2020 – today
- 2023
[j7]Pei Dang, Chuang Li, Weixiong Mai, Wenliang Pan:
Uncertainty principles for random signals. Appl. Math. Comput. 444: 127833 (2023)- [j6]Pei Dang, Weixiong Mai
, Wenliang Pan:
Uncertainty principle in random quaternion domains. Digit. Signal Process. 136: 103988 (2023) - [j5]Canhong Wen, Zhenduo Li, Ruipeng Dong, Yijin Ni, Wenliang Pan:
Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression. INFORMS J. Comput. 35(5): 1044-1060 (2023) - 2021
- [j4]Canhong Wen, Hailong Ba, Wenliang Pan, Meiyan Huang:
Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants. Bioinform. 36(21): 5214-5222 (2021) - [j3]Jin Zhu, Wenliang Pan, Wei Zheng, Xueqin Wang:
Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces. J. Stat. Softw. 97(1) (2021) - 2020
- [j2]Yu Liu, Paul W. Bible, Bin Zou, Qiaoxing Liang, Cong Dong, Xiaofeng Wen, Yan Li, Xiaofei Ge, Xifang Li, Xiuli Deng, Rong Ma, Shixin Guo, Juanran Liang, Tingting Chen, Wenliang Pan, Lixin Liu, Wei Chen, Xueqin Wang, Lai Wei:
CSMD: a computational subtraction-based microbiome discovery pipeline for species-level characterization of clinical metagenomic samples. Bioinform. 36(5): 1577-1583 (2020) - [j1]Canhong Wen, Yuhui Yang, Quan Xiao, Meiyan Huang, Wenliang Pan:
Genome-wide association studies of brain imaging data via weighted distance correlation. Bioinform. 36(19): 4942-4950 (2020)
2010 – 2019
- 2017
- [c1]Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu:
Conditional Local Distance Correlation for Manifold-Valued Data. IPMI 2017: 41-52
Coauthor Index
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