3 citations · 4 across the 3 of their papers we have counts for
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stat.ML2019
A sparse negative binomial mixture model for clustering RNA-seq count data
Tanbin Rahman, Yujia Li, Tianzhou Ma +2
Clustering with variable selection is a challenging yet critical task for modern small-n-large-p data. Existing methods based on sparse Gaussian mixture models or sparse K-means pr…
stat.ME2019
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…
math.ST2019
Properties of adaptively weighted Fisher's method
Yusi Fang, Shaowu Tang, Zhiguang Huo +2
Meta-analysis is a statistical method to combine results from multiple clinical or genomic studies with the same or similar research problems. It has been widely use to increase st…