In recent decades, microarray datasets have played an important role in triple negative
breast cancer (TNBC) detection. Microarray data classification is a challenging process due …

At the heart of the cellular machinery through the regulation of cellular functions, protein–
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …

Drugs are an important way to treat various diseases. However, they inevitably produce side
effects, bringing great risks to human bodies and pharmaceutical companies. How to predict …

Coronaviruses are specific crown‐shaped viruses that were first identified in the 1960s, and
three typical examples of the most recent coronavirus disease outbreaks include severe …

The high-throughput genomic and proteomic scanning approaches allow investigators to
measure the quantification of genome-wide genes (or gene products) for certain disease …

Radiotherapy resistance is one of the main causes for treatment failure in colorectal cancer
(CRC), and it is associated with the deregulation of certain microRNAs. In this study, we …

Background Extracting meaningful information from unbiased high-throughput data has
been a challenge in diverse areas. Specifically, in the early stages of drug discovery, a …

Abnormal angiogenesis is associated with intraocular diseases such as proliferative diabetic
retinopathy and neovascular age-related macular degeneration, and current therapies for …

Background: Identification of protein phenotypic annotations is an essential and challenging
problem in modern genetics. Such problem is related to some serious diseases, including …

Aim and Objective: There are several diseases having a complicated mechanism. For such
complicated diseases, a single drug cannot treat them very well because these diseases …