A0168
Title: Bayesian causal discovery for reverse-engineering single-cell gene regulatory networks
Authors: Yang Ni - Texas AM University (United States) [presenting]
Abstract: Novel Bayesian causal discovery approaches will be presented. They are motivated by single-cell RNA-seq data. The proposed approaches are causally identifiable for purely observational, cross-sectional data under some causal assumptions.
