most citedA sparse negative binomial mixture model for clustering RNA-seq count data

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2021

Association study between gene expression and multiple phenotypes in omics applications of complex diseases

Yujia Li, Yusi Fang, Peng Liu +1

Studying phenotype-gene association can uncover mechanism of diseases and develop efficient treatments. In complex disease where multiple phenotypes are available and correlated, a…

stat.ML2019★ 2 cited

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★ 1 cited

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…