Seminar by Prof. George C. Tseng

2016, June 24 (Friday), 15:00 - 16:00

Admission Free,No Booking Necessary

統計数理研究所 会議室3(2階)
/ Meeting Room3 (2F) @ The Institute of Statistical Mathematics
George C. Tseng, Professor
(Depts of Biostatistics, Human Genetics and Computational Biology University of Pittsburgh)
Adaptively weighted meta-analysis in -omics applications

In this talk, I will present an adaptively weighted Fisher's method that was developed to account for gene-specific heterogeneous differential expression (DE) signal across studies in transcriptomic meta-analysis.

We will show that the method is asymptotically Bahadur optimal and the adaptive weights provide improved interpretation and further biological investigation in omics applications. A fast importance sampling algorithm has been developed for accurate p-value calculation that is useful for multiple comparison of thousands of genes (or millions of SNPs). Bootstrap technique is used to assess a confidence score for the weights. Simulations and applications of prostate cancer, lung cancer and mouse metabolism data will be presented.