5 citations · 13 across the 8 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
q-bio.GN2016★ 1 cited
Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery
Wenwen Min, Juan Liu, Shihua Zhang
Molecular profiling data (e.g., gene expression) has been used for clinical risk prediction and biomarker discovery. However, it is necessary to integrate other prior knowledge lik…
cs.LG2016★ 5 cited
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…