Title: Statistical assessment of global regulatory role of epigenetic regulation
Speaker: Prof. Ping Ma, University of Georgia
Time: 10:00 am
Day/Date: Wednesday/July 19th, 2017
Host PI: Prof. Heng Zhang
Venue: PSC Auditorium
Epigenetics play important but incompletely understood roles in gene regulation. A comprehensive understanding of the regulatory role of epigenetics is difficult because their effects are confounded by other factors, such as the transcription factor binding sequence motif information and nucleosome occupancy.
In this talk, I will present some statistical analysis of a genomewide epigenetics data using a few complementary statistical models. We tested the validity of a cumulative model in approximating the global regulatory effect of epigenetics. Confounding effects due to transcription factor binding sequence information were estimated by using two independent motif-based algorithms followed by a variable selection method. We found that the sequence information has a significant role in regulating transcription, and we also found a clear additional epigenetics effect. Our model fits well with observed genome-wide data. Strikingly, including more complicated combinatorial effects does not improve the model's performance. Through a statistical analysis of conditional independence, we found that some epigenetics markers may not have significant direct impact on global gene expression.