Junjie Zhu

GLISS integrates spatial gene expression and scRNA-seq data to identify spatially-varying genes and recover cell locations.

The paper introduces interactive visualization tools for exploring Gene Ontology data, enabling better analysis of high-throughput genomic studies and simulation of single-cell RNA sequencing data.

Network Enhancement improves the signal-to-noise ratio of weighted biological networks, enhancing downstream analysis performance across multiple applications.

SIMLR is a tool for single-cell RNA-seq analysis that improves clustering and visualization through multi-kernel learning.

This paper introduces SIMLR, a similarity-learning framework for single-cell RNA-seq data analysis, showing improved clustering and visualization.

scRNASeqDB is a database that compiles human single-cell RNA-seq datasets for gene expression analysis and provides tools for querying and visualizing expression profiles.

8-channel GemCode droplet barcoding captures ∼50% of loaded cells for 3′ mRNA counting, profiling 68k peripheral blood mononuclear cells and calling transplant chimerism from transcript variants.