54 citations · 208 across the 29 of their papers we have counts for
7 papers · 1 filter
Inference of Dynamic Graph Changes for Functional Connectome
Dingjue Ji, Junwei Lu, Yiliang Zhang +2
Dynamic functional connectivity is an effective measure for the brain's responses to continuous stimuli. We propose an inferential method to detect the dynamic changes of brain net…
Phylogeny-based tumor subclone identification using a Bayesian feature allocation model
Li Zeng, Joshua L. Warren, Hongyu Zhao
Tumor cells acquire different genetic alterations during the course of evolution in cancer patients. As a result of competition and selection, only a few subgroups of cells with di…
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…
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…
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…
Detection boundary and Higher Criticism approach for rare and weak genetic effects
Zheyang Wu, Yiming Sun, Shiquan He +3
Genome-wide association studies (GWAS) have identified many genetic factors underlying complex human traits. However, these factors have explained only a small fraction of these tr…
Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data
Ruiyan Luo, Hongyu Zhao
Recent technological advances have made it possible to simultaneously measure multiple protein activities at the single cell level. With such data collected under different stimula…