HKU HKU Dept of Statistics & Actuarial Science, HKU

Seminar by Dr. Jingshu WANG from University of Chicago

DateMarch 31, 2021, Wednesday
Time10:00 a.m. - 11:00 a.m.
Venuevia Zoom
TitleDetecting multiple replicating signals using adaptive filtering procedures

Replicability is a fundamental quality of scientific discoveries: we are interested in those signals that are detectable in different laboratories, different populations, across time etc. Unlike meta-analysis which accounts for experimental variability but does not guarantee replicability, testing a partial conjunction (PC) null aims specifically to identify the signals that are discovered in multiple studies. In many contemporary applications, ex. comparing multiple high-throughput genetic experiments, a large number M of PC nulls need to be tested simultaneously, calling for a multiple comparison correction. However, standard multiple testing adjustments on the M PC p-values can be severely conservative, especially when M is large and the signals are sparse. We introduce AdaFilter, a new multiple testing procedure that increases power by adaptively filtering out unlikely candidates of PC nulls. We prove that AdaFilter can control FWER and FDR as long as data across studies are independent, and has much higher power than other existing methods. We illustrate the application of AdaFilter with three examples: microarray studies of Duchenne muscular dystrophy, single-cell RNA sequencing of T cells in lung cancer tumors and GWAS for metabolomics.

About the speaker

Dr. WANG Jingshu is currently an assistant professor at the Department of Statistics, the University of Chicago. She received Ph.D. in statistics from Stanford in 2016 (adviser: Prof. Art B. Owen) and B.S. in Mathematics and Applied Mathematics from Peking University in 2011. She was a postdoc researcher with Prof. Nancy R. Zhang at Wharton Statistics Department from 2016-2019.