Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …

Cell-penetrating peptides (CPPs) facilitate the delivery of therapeutically relevant molecules,
including DNA, proteins and oligonucleotides, into cells both in vitro and in vivo. This unique …

Diabetes mellitus is a chronic disease characterized by hyperglycemia. It may cause many
complications. According to the growing morbidity in recent years, in 2040, the world's …

High-dimensional data analysis is a challenge for researchers and engineers in the fields of
machine learning and data mining. Feature selection provides an effective way to solve this …

Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …

Aims: The study aims to find a way to reduce the dimensionality of the dataset. Background:
Dimensionality reduction is the key issue of the machine learning process. It does not only …

Antimicrobial peptides (AMPs) are a valuable source of antimicrobial agents and a potential
solution to the multi-drug resistance problem. In particular, short-length AMPs have been …

Motivation A clear identification of the primary site of tumor is of great importance to the next
targeted site-specific treatments and could efficiently improve patient's overall survival. Even …

Classical scoring functions have reached a plateau in their performance in virtual screening
and binding affinity prediction. Recently, machine-learning scoring functions trained on …

Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease
detection by using computer-aided diagnosis from fundus image has emerged as a new …