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.