121 citations · 205 across the 12 of their papers we have counts for
4 papers · 1 filter
Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals
Zhiguang Huo, Chi Song, George Tseng
Due to the rapid development of high-throughput experimental techniques and fast-dropping prices, many transcriptomic datasets have been generated and accumulated in the public dom…
Imputation of truncated p-values for meta-analysis methods and its genomic application
Shaowu Tang, Ying Ding, Etienne Sibille +3
Microarray analysis to monitor expression activities in thousands of genes simultaneously has become routine in biomedical research during the past decade. A tremendous amount of e…
Hypothesis setting and order statistic for robust genomic meta-analysis
Chi Song, George C. Tseng
Meta-analysis techniques have been widely developed and applied in genomic applications, especially for combining multiple transcriptomic studies. In this paper we propose an order…
An adaptively weighted statistic for detecting differential gene expression when combining multiple transcriptomic studies
Jia Li, George C. Tseng
Global expression analyses using microarray technologies are becoming more common in genomic research, therefore, new statistical challenges associated with combining information f…