Faculty Highlight – Fang Yu, PhD, Assistant Professor in the Department of Biostatistics Dr. Fang Yu’s research focuses on the development of Bayesian statistical methods for analyzing high-throughput data. Bayesian statistical methods incorporate prior information to calculate the probability that a hypothesis may be true. One of Dr. Yu’s recently published manuscripts proposed a hierarchical Bayesian method to identify differentially expressed genes under multiple biological conditions. Her hierarchical Bayesian method fits parallel models on the studied genes and provides better model fit by allowing the genes… Continue Reading
