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您的检索式：作者名="Qianchen YU"
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| 1 | Estimating posterior inference quality of the relational infinite latent feature model for overlapping community detection显示文摘Overlapping community detection has become a very hot research topic in recent decades,and a plethora of methods have been proposed.But,a common challenge in many existing overlapping community detection approaches is that the number of communities K must be predefined manually.We propose a flexible nonparametric Bayesian generative model for count-value networks,which can allow K to increase as more and more data are encountered instead of to be fixed in advance.The Indian buffet process was used to model the community assignment matrix Z,and an uncol-lapsed Gibbs sampler has been derived.However,as the community assignment matrix Zis a structured multi-variable parameter,how to summarize the posterior inference results andestimate the inference quality about Z,is still a considerable challenge in the literature.In this paper,a graph convolutional neural network based graph classifier was utilized to help tosummarize the results and to estimate the inference qualityabout Z.We conduct extensive experiments on synthetic data and real data,and find that empirically,the traditional posterior summarization strategy is reliable. | Qianchen YU Zhiwen YU Zhu WANG Xiaofeng WANG Yongzhi WANG | 2020 | Frontiers of Computer Science2020，14，6： | 1 |
| 2 | FERM domain-containing protein FRMD6 activates the mTOR signaling pathway and promotes lung cancer progression显示文摘FRMD6,a member of the 4.1 ezrin-radixin-moesin domain-containing protein family,has been reported to inhibit tumor progression in multiple cancers.Here,we demonstrate the involvement of FRMD6 in lung cancer progression.We find that FRMD6 is overexpressed in lung cancer tissues relative to in normal lung tissues.In addition,the enhanced expression of FRMD6 is associated with poor outcomes in patients with lung squamous cell carcinoma(n=75,P=0.0054)and lung adenocarcinoma(n=94,P=0.0330).Cell migration and proliferation in vitro and tumor formation in vivo are promoted by FRMD6 but are suppressed by the depletion of FRMD6.Mechanistically,FRMD6 interacts and colocalizes with mTOR and S6K,which are the key molecules of the mTOR signaling pathway.FRMD6 markedly enhances the interaction between mTOR and S6K,subsequently increasing the levels of endogenous pS6K and downstream pS6 in lung cancer cells.Furthermore,knocking out FRMD6 inhibits the activation of the mTOR signaling pathway in Frmd6^(−/−)gene KO MEFs and mice.Altogether,our results show that FRMD6 contributes to lung cancer progression by activating the mTOR signaling pathway. | Tianzhuo Wang Huiying Guo Lei Zhang Miao Yu Qianchen Li Jing Zhang Yan Tang Hongquan Zhang Jun Zhan | 2023 | Frontiers of Medicine2023，17，4： | 0 |
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