Graph Canonical Correlation Analysis

1 code implementation • 3 Feb 2025 • Hongju Park, Shuyang Bai, Zhenyao Ye, Hwiyoung Lee, Tianzhou Ma, Shuo Chen

Canonical correlation analysis (CCA) is a widely used technique for estimating associations between two sets of multi-dimensional variables.

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

1 code implementation • 5 Dec 2019 • Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George Tseng

With the prevalence of RNA-seq technology and lack of count data modeling for clustering, the current practice is to normalize count expression data into continuous measures and apply existing models with Gaussian assumption.

Clustering feature selection +1