Protein-protein interactions (PPIs) play an essential role for most of biological processes in
cells. Many computational algorithms have thus been proposed to predict PPIs. However …

Protein-protein interactions (PPIs) play a critical role in the proteomics study, and a variety of
computational algorithms have been developed to predict PPIs. Though effective, their …

A latent factor analysis (LFA) model can be efficiently built via the stochastic gradient
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …

A variety of single-cell RNA-seq (scRNA-seq) clustering methods has achieved great
success in discovering cellular phenotypes. However, it remains challenging when the data …

Hubs are generally defined as nodes with a high degree centrality, and they are important
for maintaining the stability of complex networks. Previous studies have shown that hub …

Toxoplasma gondii oocysts, which are shed in large quantities in the feces from infected
felines, are very stable in the environment, resistant to most inactivation procedures, and …

Background Identifying drug–target interactions (DTIs) plays a key role in drug development.
Traditional wet experiments to identify DTIs are costly and time consuming. Effective …

Drug–drug interaction (DDI) prediction is one of the essential tasks in drug development to
ensure public health and patient safety. Drug combinations with potentially severe DDIs …

As a common cryptocurrency platform, Ethereum involves massive accounts and numerous
real-time transactions. Moreover, as the involved accounts increase drastically, it is …

Identifying new indications of drugs plays an important role in the drug research and
development process. However, traditional methods are labor-intensive and financially …