Breast cancer (BC) is a major health concern worldwide. It is a complex and multifactorial
disease, and identifying its risk factors is crucial for early detection and effective treatment …

The drug and target interaction are essential in drug discovery to know how the drug
interacts with the target. The identification process needs laboratory experiment, which …

In recent years, classification algorithms have made great progress, but with the continuous
expansion of data sources, most of the data have different degrees of imbalance. Aiming at …

Subspace clustering identifies multiple feature subspaces embedded in a dataset together
with the underlying sample clusters. When applied to omic data, subspace clustering is a …

Aiming at the problems of low classification accuracy, which is easy to fall into local optimal
state in the current unbalanced data classification algorithm, an unbalanced big data …