Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Wan-Lun Wang"'
Autor:
Shuang Liu, Yan-chao Bian, Wan-lun Wang, Tong-Jia Liu, Ting Zhang, Yue Chang, Rui Xiao, Chuan-ling Zhang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Spermatogenesis is a complex process related to male infertility. Till now, the critical genes and specific mechanisms have not been elucidated clearly. Our objective was to determine the hub genes that play a crucial role in spermatogenesis
Externí odkaz:
https://doaj.org/article/73e1cadfbc304f1e93712a1278327d72
Autor:
Ji-Lin Chen, Pei-Yi Chu, Chun-Teng Huang, Tzu-Ting Huang, Wan-Lun Wang, Yu-Hsuan Lee, Yuan-Ya Chang, Ming-Shen Dai, Chung-Wai Shiau, Chun-Yu Liu
Publikováno v:
Molecular Medicine, Vol 28, Iss 1, Pp 1-10 (2022)
Abstract Background Diffuse large B cell lymphoma (DLBCL) is an aggressive and molecularly heterogeneous non-Hodgkin’s lymphoma. The B cell receptor (BCR) signaling pathway in DLBCL emerges as a new drug target. Protein phosphatase SHP-1 negatively
Externí odkaz:
https://doaj.org/article/d5ce200f0c8547a79007dd9f9fcc3b5d
Autor:
Chun-Yu Liu, Tzu-Ting Huang, Yi-Ting Chen, Ji-Lin Chen, Pei-Yi Chu, Chun-Teng Huang, Wan-Lun Wang, Ka-Yi Lau, Ming-Shen Dai, Chung-Wai Shiau, Ling-Ming Tseng
Publikováno v:
EBioMedicine, Vol 40, Iss , Pp 263-275 (2019)
Background: Triple-negative breast cancer (TNBC) remains difficult to be targeted. SET and cancerous inhibitor of protein phosphatase 2A (CIP2A) are intrinsic protein-interacting inhibitors of protein phosphatase 2A (PP2A) and frequently overexpresse
Externí odkaz:
https://doaj.org/article/0faf2b9668254317ad53d96072891bea
Autor:
Tzu-Ting Huang, Ling-Ming Tseng, Ji-Lin Chen, Pei-Yi Chu, Chia-Han Lee, Chun-Teng Huang, Wan-Lun Wang, Ka-Yi Lau, Mei-Fang Tseng, Yuan-Ya Chang, Tzu-Yi Chiang, Yune-Fang Ueng, Hsin-Chen Lee, Ming-Shen Dai, Chun-Yu Liu
Publikováno v:
EBioMedicine, Vol 54, Iss , Pp - (2020)
Background: Triple-negative breast cancer (TNBC) is aggressive and has a poor prognosis. Kynurenine 3-monooxygenase (KMO), a crucial kynurenine metabolic enzyme, is involved in inflammation, immune response and tumorigenesis. We aimed to study the ro
Externí odkaz:
https://doaj.org/article/6b60d309136a4ae4896273729f91edb0
Approximate Methods for Maximum Likelihood Estimation of Multivariate Nonlinear Mixed-Effects Models
Autor:
Wan-Lun Wang
Publikováno v:
Entropy, Vol 17, Iss 8, Pp 5353-5381 (2015)
Multivariate nonlinear mixed-effects models (MNLMM) have received increasing use due to their flexibility for analyzing multi-outcome longitudinal data following possibly nonlinear profiles. This paper presents and compares five different iterative a
Externí odkaz:
https://doaj.org/article/bc548116df284ad196188df8b2a1d587
Autor:
Wan-Lun Wang, 王婉倫
98
In biomedical studies or clinical trials, repeated measures with multiple characteristics and a set of covariates are taken from each subject over a certain period of time. Research involving the analysis of such data is commonly referred to
In biomedical studies or clinical trials, repeated measures with multiple characteristics and a set of covariates are taken from each subject over a certain period of time. Research involving the analysis of such data is commonly referred to
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/41857761089747098708
Autor:
Wan-Lun Wang, 王婉倫
95
In order to quickly extract information on the life of a product, accelerated life-tests are usually employed. In this thesis, we discuss a k-stage step-stress accelerated life-test with M stress variables when the underlying data are progres
In order to quickly extract information on the life of a product, accelerated life-tests are usually employed. In this thesis, we discuss a k-stage step-stress accelerated life-test with M stress variables when the underlying data are progres
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/13495859659147833282
Autor:
Wan-Lun Wang
Publikováno v:
Journal of Computational and Graphical Statistics. :1-14
Autor:
Tsung-I Lin, Wan-Lun Wang
Publikováno v:
Statistical Methods in Medical Research. 32:593-608
Multivariate nonlinear mixed-effects models (MNLMMs) have become a promising tool for analyzing multi-outcome longitudinal data following nonlinear trajectory patterns. However, such a classical analysis can be challenging due to censorship induced b
Publikováno v:
Biological and Pharmaceutical Bulletin. 45:1616-1626