Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Ma, Tianzhou"'
Semi-Confirmatory Factor Analysis for High-Dimensional Data with Interconnected Community Structures
Confirmatory factor analysis (CFA) is a statistical method for identifying and confirming the presence of latent factors among observed variables through the analysis of their covariance structure. Compared to alternative factor models, CFA offers in
Externí odkaz:
http://arxiv.org/abs/2401.00624
Although substance use, such as alcohol consumption, is known to be associated with cognitive decline during ageing, its direct influence on the central nervous system remains unclear. In this study, we aim to investigate the potential influence of a
Externí odkaz:
http://arxiv.org/abs/2303.03520
Variable selection has played a critical role in modern statistical learning and scientific discoveries. Numerous regularization and Bayesian variable selection methods have been developed in the past two decades for variable selection, but most of t
Externí odkaz:
http://arxiv.org/abs/2212.13294
High-dimensional data are commonly seen in modern statistical applications, variable selection methods play indispensable roles in identifying the critical features for scientific discoveries. Traditional best subset selection methods are computation
Externí odkaz:
http://arxiv.org/abs/2212.13292
Bayesian response adaptive randomization design with a composite endpoint of mortality and morbidity
Autor:
Xu, Zhongying, Bandos, Andriy I., Ma, Tianzhou, Tang, Lu, Talisa, Victor B., Chang, Chung-Chou H.
Allocating patients to treatment arms during a trial based on the observed responses accumulated prior to the decision point, and sequential adaptation of this allocation,, could minimize the expected number of failures or maximize total benefit to p
Externí odkaz:
http://arxiv.org/abs/2208.08472
Autor:
Ye, Zhenyao, Pan, Yezhi, McCoy, Rozalina G., Bi, Chuan, Mo, Chen, Feng, Li, Yu, Jiaao, Lu, Tong, Liu, Song, Carson Smith, J., Duan, Minxi, Gao, Si, Ma, Yizhou, Chen, Chixiang, Mitchell, Braxton D., Thompson, Paul M., Elliot Hong, L., Kochunov, Peter, Ma, Tianzhou, Chen, Shuo
Publikováno v:
In Neurobiology of Aging November 2024 143:41-52
Autor:
Lee, Hwiyoung1,2 (AUTHOR), Ma, Tianzhou3 (AUTHOR), Ke, Hongjie3 (AUTHOR), Ye, Zhenyao2,4 (AUTHOR), Chen, Shuo1,2,4 (AUTHOR) shuochen@som.umaryland.edu
Publikováno v:
Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-11. 11p.
Autor:
Lai, Jianyu, Coleman, Kristen K., Tai, S.-H. Sheldon, German, Jennifer, Hong, Filbert, Albert, Barbara, Esparza, Yi, Rastogi, Dewansh, Srikakulapu, Aditya, Kalliomäki, Petri, Schanz, Maria, Smith, Alycia A., Sierra Maldonado, Isabel, Oertel, Molly, Fadul, Naja, Gold, T. Louie, McPhaul, Kathleen, Ma, Tianzhou, Cowling, Benjamin J., Milton, Donald K.
Publikováno v:
In eBioMedicine June 2024 104
Clustering with variable selection is a challenging yet critical task for modern small-n-large-p data. Existing methods based on sparse Gaussian mixture models or sparse K-means provide solutions to continuous data. With the prevalence of RNA-seq tec
Externí odkaz:
http://arxiv.org/abs/1912.02399
Autor:
Mo, Chen, Ye, Zhenyao, Pan, Yezhi, Zhang, Yuan, Wu, Qiong, Bi, Chuan, Liu, Song, Mitchell, Braxton, Kochunov, Peter, Hong, L. Elliot, Ma, Tianzhou, Chen, Shuo
Publikováno v:
In Molecular and Cellular Neuroscience December 2023 127