Zobrazeno 1 - 10
of 449
pro vyhledávání: '"Liu Yiling"'
Publikováno v:
Open Life Sciences, Vol 16, Iss 1, Pp 1303-1312 (2021)
The purpose of this study is to observe the potential value and underlying mechanism of the metastasis-associated lung adenocarcinoma transcript 1 (MALAT1)/miR-143 axis in ISR. A total of 150 participants were enrolled, including 100 patients (observ
Externí odkaz:
https://doaj.org/article/323e2651f3394375a146610d43561aab
Autor:
Liu Yiling, Xiao Dongping
Publikováno v:
Zhishi guanli luntan, Vol 7, Iss 5, Pp 0-0 (2022)
[Purpose/Significance] Enterprise technical innovation is the key for enterprise to keep pace with the times. This paper selects the individual level to study how knowledge management affects technical innovation from the perspective of Ba, and aims
Externí odkaz:
https://doaj.org/article/3d1dede041fc47ddb4cb86b907ee1378
Autor:
Jiang, Ziyang, Liu, Yiling, Klein, Michael H., Aloui, Ahmed, Ren, Yiman, Li, Keyu, Tarokh, Vahid, Carlson, David
Causal mediation analysis (CMA) is a powerful method to dissect the total effect of a treatment into direct and mediated effects within the potential outcome framework. This is important in many scientific applications to identify the underlying mech
Externí odkaz:
http://arxiv.org/abs/2306.07918
Autor:
Liu, Yiling, Dong, Juncheng, Jiang, Ziyang, Aloui, Ahmed, Li, Keyu, Klein, Hunter, Tarokh, Vahid, Carlson, David
Unsupervised domain adaptation (UDA) is a technique used to transfer knowledge from a labeled source domain to a different but related unlabeled target domain. While many UDA methods have shown success in the past, they often assume that the source a
Externí odkaz:
http://arxiv.org/abs/2302.02009
A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images. To fill this gap, we propose Causal Multi-task Deep Ensemble (CMDE), a novel framework t
Externí odkaz:
http://arxiv.org/abs/2301.11351
It is challenging to guide neural network (NN) learning with prior knowledge. In contrast, many known properties, such as spatial smoothness or seasonality, are straightforward to model by choosing an appropriate kernel in a Gaussian process (GP). Ma
Externí odkaz:
http://arxiv.org/abs/2205.07384
Autor:
Deng, Yuehua, Che, Qianqian, Li, Yani, Luo, Jiating, Gao, Xiang, He, Yan, Liu, Yiling, Liu, Tong, Zhao, Xiaolong, Hu, Xiaobin, Zhao, Wei
Publikováno v:
In Journal of Environmental Sciences August 2024 142:57-68
Autor:
Zhang, Shuhang, Yin, Hai, Zhang, Yiqingqing, Zhu, Yanli, Zhu, Xueyao, Zhu, Wenting, Tang, Lihui, Liu, Yiling, Wu, Kexin, Zhao, Baoyu, Tian, Yanan, Lu, Hao
Publikováno v:
In Chemico-Biological Interactions 1 May 2024 394
Publikováno v:
Retrovirology, Vol 2, Iss Suppl 1, p P69 (2005)
Externí odkaz:
https://doaj.org/article/72d7f7d98943459cb9496f8ca5090141
Publikováno v:
In Heliyon 15 March 2024 10(5)