3 citations · 4 across the 3 of their papers we have counts for
5 papers · 1 filter
Heavy-tailed distribution for combining dependent -values with asymptotic robustness
Yusi Fang, George C. Tseng, Chung Chang
The issue of combining individual -values to aggregate multiple small effects is prevalent in many scientific investigations and is a long-standing statistical topic. Many class…
Outcome-Guided Disease Subtyping for High-Dimensional Omics Data
Peng Liu, Yusi Fang, Zhao Ren +2
High-throughput microarray and sequencing technology have been used to identify disease subtypes that could not be observed otherwise by using clinical variables alone. The classic…
Simultaneous Estimation of Number of Clusters and Feature Sparsity in Clustering High-Dimensional Data
Yujia Li, Xiangrui Zeng, Chien-Wei Lin +1
Estimating the number of clusters (K) is a critical and often difficult task in cluster analysis. Many methods have been proposed to estimate K, including some top performers using…
Variable screening with multiple studies
Tianzhou Ma, Zhao Ren, George C. Tseng
Advancement in technology has generated abundant high-dimensional data that allows integration of multiple relevant studies. Due to their huge computational advantage, variable scr…
P-value evaluation, variability index and biomarker categorization for adaptively weighted Fisher's meta-analysis method in omics applications
Zhiguang Huo, Shaowu Tang, Yongseok Park +1
Meta-analysis methods have been widely used to combine results from multiple clinical or genomic studies to increase statistical power and ensure robust and accurate conclusion. Ad…