Linear discriminant analysis (LDA) is a well-known classification technique that enjoyed
great success in practical applications. Despite its effectiveness for traditional low …

Feature screening approaches are effective in selecting active features from data with
ultrahigh dimensionality and increasing complexity; however, many existing feature …

Motivation In high-dimensional genetic/genomic data, the identification of genes related to
clinical survival trait is a challenging and important issue. In particular, right-censored …

Background In high-dimensional survival genomic data, identifying cancer-related genes is
a challenging and important subject in the field of bioinformatics. In recent years, many …

Pathways are the functional building blocks of complex diseases such as cancer. Identifying
disease‐associated pathways is of great importance to the development of novel …

With the abundance of increasingly complex and high dimensional data in many scientific
disciplines, graphical models have become an extremely useful statistical tool to explore …