Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series LLC LTD Events with over 1000+ Conferences, 1000+ Symposiums and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series LLC LTD : World’s leading Event Organizer

Back

Xiaoping Steven Wang

York University, Canada

Title: Robust joint statistical tests for DNA methylation data

Biography

Biography: Xiaoping Steven Wang

Abstract

The detection of differential methylation between the control and case group of a disease of interest remains a challenging task. Reliable result depends on a correct employment of robust statistical tests. In the past, the hypothesis testing for methylation data is mainly focused on the equality of means while the intrinsic variability in the methylation data has often been ignored.
 
Many statistical tests that could incorporate the variability into the testing procedure rely on the assumption of either normality or absence of outliers. Consequently, these tests are not very robust when applied to real data. In this talk, we will present three robust statistical tests that can test the equality of both means and variances simultaneously.
 
Results from simulation studies and real data analyses suggest that our proposed methods are more powerful and robust in comparison with other three bench mark testing procedures.