Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Lingzhou Xue"'
Publikováno v:
Statistics and Public Policy, Vol 8, Iss 1, Pp 73-79 (2021)
Government reports document more than 14,000 homicides and more than 195,000 aggravated assaults with firearms in 2017. In addition, there were 346 mass shootings, with 4 or more victims, including over 2000 people shot. These statistics do not inclu
Externí odkaz:
https://doaj.org/article/a977cbda58d64d1980e12987e7d28c90
Autor:
Kalins Banerjee, Ni Zhao, Arun Srinivasan, Lingzhou Xue, Steven D. Hicks, Frank A. Middleton, Rongling Wu, Xiang Zhan
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Differential abundance analysis is a crucial task in many microbiome studies, where the central goal is to identify microbiome taxa associated with certain biological or clinical conditions. There are two different modes of microbiome differential ab
Externí odkaz:
https://doaj.org/article/b93ab476c61d4244890a35b0b8ee4237
Autor:
Yafei Lyu, Lingzhou Xue, Feipeng Zhang, Hillary Koch, Laura Saba, Katerina Kechris, Qunhua Li
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 9, p e1006436 (2018)
Co-expression network analysis provides useful information for studying gene regulation in biological processes. Examining condition-specific patterns of co-expression can provide insights into the underlying cellular processes activated in a particu
Externí odkaz:
https://doaj.org/article/2d8de1348e204b88b79377b0b5519821
Publikováno v:
eLife, Vol 5 (2016)
How cells sense their mechanical environment and transduce forces into biochemical signals is a crucial yet unresolved question in mechanobiology. Platelets use receptor glycoprotein Ib (GPIb), specifically its α subunit (GPIbα), to signal as they
Externí odkaz:
https://doaj.org/article/0facf10e6d57497caa211e9217b70e9d
Publikováno v:
Statistica Sinica.
Publikováno v:
Journal of the American Statistical Association. :1-14
Testing large covariance matrices is of fundamental importance in statistical analysis with high-dimensional data. In the past decade, three types of test statistics have been studied in the literature: quadratic form statistics, maximum form statist
Publikováno v:
Journal of the American Statistical Association. :1-14
We introduce a nonparametric graphical model for discrete node variables based on additive conditional independence. Additive conditional independence is a three way statistical relation that shares similar properties with conditional independence by
Publikováno v:
Journal of Business & Economic Statistics. :1-11
Compositional data arises in a wide variety of research areas when some form of standardization and composition is necessary. Estimating covariance matrices is of fundamental importance for high-dimensional compositional data analysis. However, exist
Publikováno v:
INFORMS Journal on Optimization. 4:200-214
Spectral clustering is one of the fundamental unsupervised learning methods and is widely used in data analysis. Sparse spectral clustering (SSC) imposes sparsity to the spectral clustering, and it improves the interpretability of the model. One wide
Marketers employ various online advertising channels to reach customers, and they are particularly interested in attribution for measuring the degree to which individual touchpoints contribute to an eventual conversion. The availability of individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ebd8d39067e7299dad9e8aed89dd509