1 citations · 1 across the 1 of their papers we have counts for
2 papers
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.ME2017★ 1 cited
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…