Please join Wayne State University's Center for Urban Responses to Environmental Stressors (CURES) for their upcoming virtual seminar on November 16, 2023 at 12:30 p.m. The seminar is free; registration is required. The Zoom link will be emailed to all registrants prior to Nov. 16. 

The guest speaker will be Hao Feng, Ph.D., assistant professor of Population and Quantitative Health Sciences at Case Western Reserve University's School of Medicine. Dr. Feng will present, “Personalized Cell-type-specific Omics Profile Deconvolution and Inference.”

Abstract:

Clinical samples often contain a mixture of different cellular subpopulations. The real-world clinical RNA-seq signatures are, therefore, mosaics of signals from multiple pure cell types. Recently, researchers have gained substantial interests in computational methods to deconvolve cell population compositions. Despite numerous methods developed for bulk data deconvolution and cell-type-specific differential expression analysis, limitations exist due to the rare usage of participant phenotype indicator and lack of subject-level reference profile. Traditional methods were developed under the assumption of one identical reference panel serves the whole population, which failed to characterize person-to-person heterogeneity. In this talk, Dr. Feng will present their biostatistical methodology research in the area of cell-type-specific gene expression reference panel recovery and analysis.

Bio:

Dr. Hao Feng is an assistant professor in biostatistics at the Department of Population & Quantitative Health Sciences at Case Western Reserve University's School of Medicine. He is a member at Case Comprehensive Cancer Center. Dr. Feng obtained his Ph.D. degree in biostatistics from Emory University and his B.S. degree in biosciences from the University of Science and Technology of China. Dr. Feng is a biostatistician focusing on data analytical problems arising in bioinformatics data. Developing statistical methods for high-throughput omics data analysis is a major component of his research.