4 papers
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
Wenwen Min, Taosheng Xu, Xiang Wan +1
Non-negative matrix factorization (NMF) is a powerful tool for dimensionality reduction and clustering. Unfortunately, the interpretation of the clustering results from NMF is diff…
Group-sparse SVD Models and Their Applications in Biological Data
Wenwen Min, Juan Liu, Shihua Zhang
Sparse Singular Value Decomposition (SVD) models have been proposed for biclustering high dimensional gene expression data to identify block patterns with similar expressions. Howe…
Sparse Weighted Canonical Correlation Analysis
Wenwen Min, Juan Liu, Shihua Zhang
Given two data matrices and , sparse canonical correlation analysis (SCCA) is to seek two sparse canonical vectors and to maximize the correlation between and $…
L0-norm Sparse Graph-regularized SVD for Biclustering
Wenwen Min, Juan Liu, Shihua Zhang
Learning the "blocking" structure is a central challenge for high dimensional data (e.g., gene expression data). Recently, a sparse singular value decomposition (SVD) has been used…