Yong Zang

Latest

• Supervised clustering of high dimensional data using regularized mixture modeling
• A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression
• SSMD- A semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data
• Denoising individual bias for a fairer binary submatrix detection
• LTMG-a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data
• Inference of Cell Types and Deconvolution – a next-generation deconvolution method for accurate assess cell population and activities in tumor microenvironment.
• Bi-clustering based biological and clinical characterization of colorectal cancer in complementary to CMS classification.