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

Prostate cancer (PC) is a leading cause of morbidity and mortality among men worldwide.
Molecular biomarkers work in conjunction with existing clinicopathologic tools to help …

Individual variations in drug efficacy, side effects and adverse drug reactions are still
challenging that cannot be ignored in drug research and development. The aim of …

Hepatitis C virus (HCV) is a notorious member of the Flaviviridae family of enveloped,
positive-strand RNA viruses. Non-structural protein 5A (NS5A) plays a key role in HCV …

Background: Finding reliable diagnostic markers for gastric cancer (GC) is important. This
work uses machine learning (ML) to identify GC diagnostic genes and investigate their …

Hypoxia environment exists in already started hepatocellular carcinoma (HCC) and
promotes its progression by driving changes in the gene expression profiles of cells …

Objective We aimed to screen out biomarkers for atrial fibrillation (AF) based on machine
learning methods and evaluate the degree of immune infiltration in AF patients in detail …

Recently, drug toxicity has become a critical problem with heavy medical and economic
burdens. Acquired long QT syndrome (acLQTS) is an acquired cardiac ion channel disease …

Idiopathic pulmonary fibrosis (IPF) is the most common and serious type of idiopathic
interstitial pneumonia, characterized by chronic, progressive, and low survival rates, while …

Immunotherapy based on the tumor microenvironment is a feasible method for treating
cancer; therefore, it is necessary to investigate the immune microenvironment of pancreatic …