Kyle Coleman’s paper on cell type deconvolution in spatial transcriptomics won the 2022 ASA Section of Statistics in Genomics and Genetics best student paper award! Kyle will present his work at JSM in August.
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 […]
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.