Zobrazeno 1 - 10
of 610
pro vyhledávání: '"Zhang, JingFei"'
Gaussian graphical regressions have emerged as a powerful approach for regressing the precision matrix of a Gaussian graphical model on covariates, which, unlike traditional Gaussian graphical models, can help determine how graphs are modulated by hi
Externí odkaz:
http://arxiv.org/abs/2411.01588
To characterize the community structure in network data, researchers have introduced various block-type models, including the stochastic block model, degree-corrected stochastic block model, mixed membership block model, degree-corrected mixed member
Externí odkaz:
http://arxiv.org/abs/2409.05276
Many real-world networks contain rich textual information in the edges, such as email networks where an edge between two nodes is an email exchange. The useful textual information carried in the edges is often discarded in most network analyses, resu
Externí odkaz:
http://arxiv.org/abs/2405.15038
Autor:
Kim, Rakheon, Zhang, Jingfei
While covariance matrices have been widely studied in many scientific fields, relatively limited progress has been made on estimating conditional covariances that permits a large covariance matrix to vary with high-dimensional subject-level covariate
Externí odkaz:
http://arxiv.org/abs/2404.02093
Dynamic networks have been increasingly used to characterize brain connectivity that varies during resting and task states. In such characterizations, a connectivity network is typically measured at each time point for a subject over a common set of
Externí odkaz:
http://arxiv.org/abs/2303.12677
Autor:
Zhang, Jingfei, Zhao, Hongyu
An expression quantitative trait locus (eQTL) is a chromosomal region where genetic variants are associated with the expression levels of certain genes that can be both nearby or distant. The identifications of eQTLs for different tissues, cell types
Externí odkaz:
http://arxiv.org/abs/2302.11662
Autor:
Zhang, Jingfei1 (AUTHOR), Lin, Xinyu1,2 (AUTHOR), Yin, Lan1 (AUTHOR), Song, Yue1,2 (AUTHOR), Chen, Xinglu1 (AUTHOR), Zhu, Yingchuan1 (AUTHOR), Jiang, Wenhao1 (AUTHOR), Lu, Yilu1 (AUTHOR), Ma, Yongxin1 (AUTHOR) mayongxin@gmail.com
Publikováno v:
Scientific Reports. 11/11/2024, Vol. 14 Issue 1, p1-10. 10p.
Dynamic heterogeneous networks describe the temporal evolution of interactions among nodes and edges of different types. While there is a rich literature on finding communities in dynamic networks, the application of these methods to dynamic heteroge
Externí odkaz:
http://arxiv.org/abs/2210.13596
There is a growing interest in cell-type-specific analysis from bulk samples with a mixture of different cell types. A critical first step in such analyses is the accurate estimation of cell-type proportions in a bulk sample. Although many methods ha
Externí odkaz:
http://arxiv.org/abs/2209.04038
Mark-point dependence plays a critical role in research problems that can be fitted into the general framework of marked point processes. In this work, we focus on adjusting for mark-point dependence when estimating the mean and covariance functions
Externí odkaz:
http://arxiv.org/abs/2207.09931