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您的检索式：作者名="Shangli Cai"
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| 1 | New hypothesis and treatment targets of depression:an integrated view of key findings显示文摘Major depressive disorder(MDD) is a common and devastating psychiatric disorder characterized by persistent low mood,cognitive disorder,and impaired social function. Despite its complex mechanisms,increasing evidence has identified the involvement of neurotrophic factors,inflammatory cytokines,the hypothalamuspituitary-adrenal axis,and glutamate receptors in the pathophysiology of this illness. The present review synthesizes recent research achievements to defi ne the network between different hypotheses of MDD and to understand which part is most pivotal for its pathogenesis. By integrating MDD-related signal pathways,we highlight brain-derived neurotrophic factor(BDNF) dysfunction and increased apoptosis as the fi nal common cascades,and new therapeutic strategies aiming to enhance BDNF function have been shown to exert a rapid and effective antidepressant action. | Shangli Cai Shucai Huang Wei Hao | 2015 | Neuroscience Bulletin2015，31，1： | 9 |
| 2 | Variable Selection in Logistic Regression Model显示文摘Variable selection is one of the most important problems in pattern recognition. In linear regression model, there are many methods can solve this problem,such as Least absolute shrinkage and selection operator(LASSO) and many improved LASSO methods, but there are few variable selection methods in generalized linear models. We study the variable selection problem in logistic regression model. We propose a new variable selection method – the logistic elastic net, prove that it has grouping effect which means that the strongly correlated predictors tend to be in or out of the model together. The logistic elastic net is particularly useful when the number of predictors(p) is much bigger than the number of observations(n). By contrast, the LASSO is not a very satisfactory variable selection method in the case when p is more larger than n. The advantage and effectiveness of this method are demonstrated by real leukemia data and a simulation study. | ZHANG Shangli ZHANG Lili QIU Kuanmin LU Ying CAI Baigen | 2015 | Chinese Journal of Electronics2015，24，4： | 5 |
| 3 | Circulating cell-free DNA for cancer early detection显示文摘Effective screening modalities are currently available for only a small subset of cancers,and they generally have suboptimal performance with complicated procedures.Therefore,there is an urgent need to develop simple,accurate,and non-invasive methods for early detection of cancers.Genetic and epigenetic alterations in plasma circulating cell-free DNA(cfDNA)have shown the potential to revolutionize methods of early detection of cancers and facilitate subsequent diagnosis to improve survival of patients.The medical interest in cfDNA assays has been inspired by emerging single-and multi-early detection of cancers studies.This review summarizes current technological and clinical advances,in the hopes of providing insights into the development and applications of cfDNA assays in various cancers and clinical scenarios.The key phases of clinical development of biomarkers are highlighted,and the future developments of cfDNA-based liquid biopsies in early detection of cancers are outlined.It is hoped that this study can boost the potential integration of cfDNA-based early detection of cancers into the current clinical workflow. | Qiang Gao Qiang Zeng Zhijie Wang Chengcheng Li Yu Xu Peng Cui Xin Zhu Huafei Lu Guoqiang Wang Shangli Cai Jie Wang Jia Fan | 2022 | The Innovation2022，3，4： | 1 |
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