Biostatistics and Bioinformatics Monthly Seminar with Hao Feng, PhD
Personalized Cell-Type-Specific Omics Profile Deconvolution
Hao Feng, PhD
Assistant Professor
Department of Population and Quantitative Health Sciences
Case Western Reserve University
Meeting ID: 838 0190 2911
Passcode: Myu62rA9
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, I will present our biostatistical methodology research in the area of cell-type-specific gene expression reference panel recovery and analysis.
This group meets monthly from Noon – 1 p.m. The meeting agenda includes a presentation, programmatic announcements and updates from Cancer Center program leaders.