Guojie Zhong
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View article: PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context
PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context Open
View article: A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data
A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data Open
View article: PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context
PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context Open
Accurate prediction of the functional impact of missense variants is important for disease gene discovery, clinical genetic diagnostics, therapeutic strategies, and protein engineering. Previous efforts have focused on predicting a binary …
View article: Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data
Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data Open
Spatial omics technologies can help identify spatially organized biological processes, but existing computational approaches often overlook structural dependencies in the data. Here, we introduce Smoother, a unified framework that integrat…
View article: A probabilistic graphical model for estimating selection coefficient of nonsynonymous variants from human population sequence data
A probabilistic graphical model for estimating selection coefficient of nonsynonymous variants from human population sequence data Open
Accurately predicting the effect of missense variants is important in discovering disease risk genes and clinical genetic diagnostics. Commonly used computational methods predict pathogenicity, which does not capture the quantitative impac…
View article: VBASS enables integration of single cell gene expression data in Bayesian association analysis of rare variants
VBASS enables integration of single cell gene expression data in Bayesian association analysis of rare variants Open
Rare or de novo variants have substantial contribution to human diseases, but the statistical power to identify risk genes by rare variants is generally low due to rarity of genotype data. Previous studies have shown that risk genes usuall…
View article: Smoother: A Unified and Modular Framework for Incorporating Structural Dependency in Spatial Omics Data
Smoother: A Unified and Modular Framework for Incorporating Structural Dependency in Spatial Omics Data Open
Spatial omics technologies can help identify spatially organized biological processes, but existing computational approaches often overlook structural dependencies in the data. Here, we introduce Smoother, a unified framework that integrat…
View article: Statistical models of the genetic etiology of congenital heart disease
Statistical models of the genetic etiology of congenital heart disease Open
View article: Identification and validation of candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas
Identification and validation of candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas Open
[This corrects the article DOI: 10.1016/j.xhgg.2022.100107.].
View article: Identification and validation of candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas
Identification and validation of candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas Open
Esophageal atresias/tracheoesophageal fistulas (EA/TEF) are rare congenital anomalies caused by aberrant development of the foregut. Previous studies indicate that rare or de novo genetic variants significantly contribute to EA/TEF …
View article: Author Corrections: Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly
Author Corrections: Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly Open
View article: Identification and validation of novel candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas
Identification and validation of novel candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas Open
Esophageal atresias/tracheoesophageal fistulas (EA/TEF) are rare congenital anomalies caused by aberrant development of the foregut. Previous studies indicate that rare or de novo genetic variants significantly contribute to EA/TEF risk, a…
View article: mRNA Delivery of a Bispecific Single‐Domain Antibody to Polarize Tumor‐Associated Macrophages and Synergize Immunotherapy against Liver Malignancies
mRNA Delivery of a Bispecific Single‐Domain Antibody to Polarize Tumor‐Associated Macrophages and Synergize Immunotherapy against Liver Malignancies Open
Liver malignancies are among the tumor types that are resistant to immune checkpoint inhibition therapy. Tumor‐associated macrophages (TAMs) are highly enriched and play a major role in inducing immunosuppression in liver malignancies. Her…
View article: Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly
Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly Open
Single-cell RNA sequencing (scRNA-seq) has revolutionized transcriptomic studies by providing unprecedented cellular and molecular throughputs, but spatial information of individual cells is lost during tissue dissociation. While imaging-b…
View article: Reconstruction of cell spatial organization based on ligand-receptor mediated self-assembly
Reconstruction of cell spatial organization based on ligand-receptor mediated self-assembly Open
Single-cell RNA sequencing (scRNA-seq) has revolutionized transcriptomic studies by providing unprecedented cellular and molecular throughputs, but spatial information of individual cells is lost during tissue dissociation. While imaging-b…
View article: Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma
Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma Open