Jian Hu’s ASHG abstract was selected as a Reviewers’ Choice abstract. Only abstracts that were scored by reviewers in the top 10% of all poster abstracts received this award. Jian will present his work on spatial transcriptomics at the ASHG […]
Our R21 grant on secondary data analysis of public data for age-related macular degeneration is funded. In this project, we will perform novel statistical analysis on publicly available gene expression and genetics data to characterize cell type composition and cell type-specific gene […]
Yuanchao will present his work on “A Multi-Step Deep Learning Framework for Integrative Analysis of Single-Cell RNA-Seq and CITE-Seq Data” at the American Society of Human Genetics annual meeting in October.
In this joint project with Dr. Muredach Reilly, we propose innovative integration of large-scale bulk RNA-seq coupled to single-cell RNA-seq profiling of human atherosclerotic plaques and novel deconvolution algorithms to identify lncRNAs, and their host cell subpopulations, for atherosclerosis. These […]
Justin will present his work on reconstructing pseudotemporal trajectories in single-cell RNA-seq data using neural networks at the American Society of Human Genetics 2019 Annual Meeting, which will be held in Houston, Texas.
Jiaxin will present her work on incorporating single-cell RNA-seq data to infer allele-specific expression at the Nature Conference on Next Generation Genomics, which will be held at New York University in August.
Zhen will present his work on characterizing cellular communication in human central nervous system by single-cell RNA-seq at the American Society of Human Genetics 2019 Annual Meeting, which will be held in Houston, Texas.