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Akademický článek

Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma

Autor: Chen Hao Jiang, Xin Yuan, Jiang Fen Li, Yu Fang Xie, An Zhi Zhang, Xue Li Wang, Lan Yang, Chun Xia Liu, Wei Hua Liang, Li Juan Pang, Hong Zou, Xiao Bin Cui, Xi Hua Shen, Yan Qi, Jin Fang Jiang, Wen Yi Gu, Feng Li, Jian Ming Hu

Publikováno v: Journal of Translational Medicine, Vol 18, Iss 1, Pp 1-11 (2020)

Abstract Background Hepatocellular carcinoma (HCC) is the most common type of liver tumour, and is closely related to liver cirrhosis. Previous studies have focussed on the pathogenesis of liver cirrhosis developing into HCC, but the molecular mechan

Externí odkaz: https://doaj.org/article/b6ef2c5d37be4655b5c2934f0d0340c2

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Akademický článek

Immune Infiltration in Gastric Cancer Microenvironment and Its Clinical Significance

Autor: An Zhi Zhang, Xin Yuan, Wei Hua Liang, Hai Jun Zhang, Ya Li, Yu Fang Xie, Jiang Fen Li, Chen Hao Jiang, Fan Ping Li, Xi Hua Shen, Li Juan Pang, Hong Zou, Wen Hu Zhou, Feng Li, Jian Ming Hu

Publikováno v: Frontiers in Cell and Developmental Biology, Vol 9 (2022)

Immunotherapy has developed rapidly and has gradually become one of the important methods for treatment of gastric cancer (GC). The research on tumor infiltrating immune cells (TIICs) and immune-related genes in the tumor microenvironment (TME) great

Externí odkaz: https://doaj.org/article/455aa132290c4b51a9d2a47b40063fd2

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A novel robust meta-analysis model using the $t$ distribution for outlier accommodation and detection

Autor: Wang, Yue, Zhao, Jianhua, Jiang, Fen, Shi, Lei, Pan, Jianxin

Random effects meta-analysis model is an important tool for integrating results from multiple independent studies. However, the standard model is based on the assumption of normal distributions for both random effects and within-study errors, making

Externí odkaz: http://arxiv.org/abs/2406.04150

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Robust bilinear factor analysis based on the matrix-variate $t$ distribution

Autor: Ma, Xuan, Zhao, Jianhua, Shang, Changchun, Jiang, Fen, Yu, Philip L. H.

Factor Analysis based on multivariate $t$ distribution ($t$fa) is a useful robust tool for extracting common factors on heavy-tailed or contaminated data. However, $t$fa is only applicable to vector data. When $t$fa is applied to matrix data, it is c

Externí odkaz: http://arxiv.org/abs/2401.02203

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Akademický článek

Influential Factors and User Behavior of Mobile Reading

Autor: Zhou Yi, Wei Jianliang, Meng Fei, Jiang Fen

Publikováno v: Journal of Intelligent Systems, Vol 24, Iss 2, Pp 223-234 (2015)

With the popularization of mobile Internet and smart terminals, mobile reading with diversity and mobility has become a hot issue in the industry and academia. This article comes up with a hypothetical model of mobile reading user acceptance behavior

Externí odkaz: https://doaj.org/article/3eeb87902178417eaecb3f770ab7eb8d

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