54 citations · 208 across the 29 of their papers we have counts for
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stat.AP2015
On Joint Estimation of Gaussian Graphical Models for Spatial and Temporal Data
Zhixiang Lin, Tao Wang, Can Yang +1
In this paper, we first propose a Bayesian neighborhood selection method to estimate Gaussian Graphical Models (GGMs). We show the graph selection consistency of this method in the…
stat.AP2015★ 23 cited
A Markov random field-based approach to characterizing human brain development using spatial-temporal transcriptome data
Zhixiang Lin, Stephan J. Sanders, Mingfeng Li +3
Human neurodevelopment is a highly regulated biological process. In this article, we study the dynamic changes of neurodevelopment through the analysis of human brain microarray da…
stat.AP2015
NBLDA: Negative Binomial Linear Discriminant Analysis for RNA-Seq Data
Kai Dong, Hongyu Zhao, Xiang Wan +1
RNA-sequencing (RNA-Seq) has become a powerful technology to characterize gene expression profiles because it is more accurate and comprehensive than microarrays. Although statisti…