Biostatistics Seminar Series - Hao Wu, PhD

Title: Deciphering cell type specific information from bulk high-throughput omics data Abstract: Single cell genomics have been a very active and rapidly advanced research field during the last decade. One major scientific goal in these studies is to identify the cell type specific information in complex tissues, including the cell type composition and cell type specific features, and to associate them with biological/clinical conditions. However, the application of single cell experiment is very difficult in large-scale population-level studies due to the high costs. This leads to a question if one can achieve some of those goals from the bulk data. In this talk, I will present our recent works for deciphering cell type specific information from bulk omics data, including reference-free signal deconvolution, cell type-specific inference, and some data analysis strategies accounting for cell type mixture in the bulk data. I will also share some experiences and thoughts on the potential future research direction in this field.