Single-Cell Sequencing and Its Implications for Biomarker Development in Ovarian Cancer Research

Single-cell RNA-sequencing (scRNA-seq) is a promising technology that allows for genome-wide expression profiling within a single cell, and thereby has the potential to address some of the limitations inherent in bulk RNA-sequencing experiments. This talk will provide an overview of the opportunities and challenges provided by scRNA-seq data and the implications for biomarker development, and will also discuss a statistical method we have developed for characterizing gene expression dynamics and sample heterogeneity using scRNA-seq data from ovarian cancer patient samples.