The tasks of drug-target interaction (DTI) and drug-target affinity (DTA) prediction play
important roles in the field of drug discovery. However, biological experiment-based …

With the rapid development of single-cell RNA-sequencing techniques, various
computational methods and tools were proposed to analyze these high-throughput data …

The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …

Photovoltaic (PV) technology can convert solar energy to electric power, which is an
essential tool for future years. Subsequently, several static solar PV models have been …

The hunger games search (HGS) algorithm is a recently proposed population-based
optimization algorithm that mimics a common phenomenon of animals searching for food …

Although nonnegative matrix factorization (NMF) is widely used, some matrix factorization
methods result in misleading results and waste of computing resources due to lack of timely …

Harris hawks optimization has been a popular swarm intelligence algorithm in recent years.
In order to improve the local exploitation ability of the algorithm and improve the problem of …

Background: Moth-flame optimization will meet the premature and stagnation phenomenon
when encountering difficult optimization tasks. Objective: This paper presented a quasi …

Due to the remarkable representation ability of Nonnegative matrix factorization (NMF), its
multiview variants have become a crucial kind of multiview representation learning methods …

Introduction Although tuberculous pleural effusion (TBPE) is simply an inflammatory
response of the pleura caused by tuberculosis infection, it can lead to pleural adhesions and …